Public marks with search predict Public marks with search predict http://blogmarks.net/marks/search/predict MIT Media Lab: Reality Mining http://reality.media.mit.edu/ <blockquote><p>Reality Mining defines the collection of machine-sensed environmental data pertaining to human social behavior. This new paradigm of data mining makes possible the modeling of conversation context, proximity sensing, and temporospatial location throughout large communities of individuals. Mobile phones (and similarly innocuous devices) are used for data collection, opening social network analysis to new methods of empirical stochastic modeling.</p><p>The original Reality Mining experiment is one of the largest mobile phone projects attempted in academia. Our research agenda takes advantage of the increasingly widespread use of mobile phones to provide insight into the dynamics of both individual and group behavior. By leveraging recent advances in machine learning we are building generative models that can be used to predict what a single user will do next, as well as model behavior of large organizations.</p></blockquote> 2009-08-19T14:08:20Z karlcow opacité, datamining, mobile, socialnetwork

MIT Media Lab: Reality Mining

by karlcow & 1 other(s)

Reality Mining defines the collection of machine-sensed environmental data pertaining to human social behavior. This new paradigm of data mining makes possible the modeling of conversation context, proximity sensing, and temporospatial location throughout large communities of individuals. Mobile phones (and similarly innocuous devices) are used for data collection, opening social network analysis to new methods of empirical stochastic modeling.

The original Reality Mining experiment is one of the largest mobile phone projects attempted in academia. Our research agenda takes advantage of the increasingly widespread use of mobile phones to provide insight into the dynamics of both individual and group behavior. By leveraging recent advances in machine learning we are building generative models that can be used to predict what a single user will do next, as well as model behavior of large organizations.

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]]> Facebook | Articles de iPhone http://www.facebook.com/note.php?note_id=122788341354&comments Facebook for iPhone 3.0 is coming very soon. I can't predict an exact date when I will submit to Apple, but I can say that I am about 98% done. 2009-07-02T09:12:21Z srcmax facebook, iphone

Facebook | Articles de iPhone

by srcmax

Facebook for iPhone 3.0 is coming very soon. I can't predict an exact date when I will submit to Apple, but I can say that I am about 98% done.

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]]> ShouldIBackupMy.com | The Guardian Open Platform | guardian.co.uk http://www.guardian.co.uk/open-platform/blog/should-i-backup-my <blockquote><p>ShouldIBackupMy.com – A project for Open Hack 2009</p><p>Cristiano Betta talks us through how he built the wonderfully funny "ShouldIBackupMy.com". In this project he uses The Guardian Content API to give him information to "predict" the longevity of things you might be concerned enough about to back up.</p></blockquote> 2009-05-28T02:25:40Z karlcow information, api, project

ShouldIBackupMy.com | The Guardian Open Platform | guardian.co.uk

by karlcow

ShouldIBackupMy.com – A project for Open Hack 2009

Cristiano Betta talks us through how he built the wonderfully funny "ShouldIBackupMy.com". In this project he uses The Guardian Content API to give him information to "predict" the longevity of things you might be concerned enough about to back up.

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]]> Ovulation Predictor http://www.ovulation-calculator.org/ovulation-predictor.php List of things that can be used to predict ovulation 2009-01-23T07:51:54Z dasecret ovulation, predictor, fertility, basal body temperature

Ovulation Predictor

by dasecret & 1 other(s)

List of things that can be used to predict ovulation

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]]> Ecopath with Ecosim - Ecosystem Modeling and Management / Simulation http://www.ecopath.org/ Ecopath with Ecosim (EwE) is a free ecological/ecosystem modeling software suite. EwE has three main components: Ecopath – a static, mass-balanced snapshot of the system; Ecosim – a time dynamic simulation module for policy exploration; and Ecospace – a spatial and temporal dynamic module primarily designed for exploring impact and placement of protected areas. The Ecopath software package can be used to * Address ecological questions; * Evaluate ecosystem effects of fishing; * Explore management policy options; * Analyze impact and placement of marine protected areas; * Predict movement and accumulation of contaminants and tracers (Ecotracer); * Model effect of environmental changes. 2008-09-17T15:35:48Z m.meixide peixe

Ecopath with Ecosim - Ecosystem Modeling and Management / Simulation

by m.meixide

Ecopath with Ecosim (EwE) is a free ecological/ecosystem modeling software suite. EwE has three main components: Ecopath – a static, mass-balanced snapshot of the system; Ecosim – a time dynamic simulation module for policy exploration; and Ecospace – a spatial and temporal dynamic module primarily designed for exploring impact and placement of protected areas. The Ecopath software package can be used to * Address ecological questions; * Evaluate ecosystem effects of fishing; * Explore management policy options; * Analyze impact and placement of marine protected areas; * Predict movement and accumulation of contaminants and tracers (Ecotracer); * Model effect of environmental changes.

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]]> i will work for vitamin C http://chookooloonks.my-expressions.com/archives/7899_1714915339/307530 About 10 years ago, I remember going to work with a raging cold. It was the latest in a series of weird little illnesses I'd picked up over the two previous years. 'I have no idea what's wrong with me,' I remember lamenting to my boss, Mike. 'I'm generally healthy as a horse.' 'Oh please, Karen,' said Mike. 'You haven't noticed how you always get ill when you're stressed? I can almost predict the day you're going to come down with something, just by looking at your workload.' I remember being incredibly shocked by this, and vehemently denying it ... until I realized he was right. And you'd think by now I'd learn to stock up on vitamins during stressful times, but that would require logic and planning on my part, wouldn't it ... ... anyway, as I type this, I'm lying in bed, full of one of Marcus' fabulous seafood stews, and about to take a good swig of Nyquil. And yes, while my current state is indicative of what I've been facing at work, the truth is that today I took the first of many steps toward alleviating my stress. And it was a big first step, too. So even though I feel like hammered dog shit, the good thing is that I feel like very happy, very content hammered dog shit. You know, in a manner of speaking. 2008-09-04T15:11:58Z blackgoldfish photography, so true, 生活態度

i will work for vitamin C

by blackgoldfish

About 10 years ago, I remember going to work with a raging cold. It was the latest in a series of weird little illnesses I'd picked up over the two previous years. 'I have no idea what's wrong with me,' I remember lamenting to my boss, Mike. 'I'm generally healthy as a horse.' 'Oh please, Karen,' said Mike. 'You haven't noticed how you always get ill when you're stressed? I can almost predict the day you're going to come down with something, just by looking at your workload.' I remember being incredibly shocked by this, and vehemently denying it ... until I realized he was right. And you'd think by now I'd learn to stock up on vitamins during stressful times, but that would require logic and planning on my part, wouldn't it ... ... anyway, as I type this, I'm lying in bed, full of one of Marcus' fabulous seafood stews, and about to take a good swig of Nyquil. And yes, while my current state is indicative of what I've been facing at work, the truth is that today I took the first of many steps toward alleviating my stress. And it was a big first step, too. So even though I feel like hammered dog shit, the good thing is that I feel like very happy, very content hammered dog shit. You know, in a manner of speaking.

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]]> Can Optic Cables Predict Economic Shifts? - GigaOM http://gigaom.com/2008/08/17/can-undersea-optic-cables-predict-an-economic-boom/ <blockquote><p>Why so much connectivity? After all, PC penetration is abysmally low in Africa. The answer is cell phones. At the beginning of 2008, there were a quarter of a billion mobile subscribers on the continent</p></blockquote> 2008-08-20T06:47:10Z karlcow mobile, afrique

Can Optic Cables Predict Economic Shifts? - GigaOM

by karlcow

Why so much connectivity? After all, PC penetration is abysmally low in Africa. The answer is cell phones. At the beginning of 2008, there were a quarter of a billion mobile subscribers on the continent

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]]> Tracking Air Fares: Elaborate Algorithms Predict Ticket Prices http://www.wired.com/science/discoveries/magazine/16-07/pb_airfares 2008-06-29T04:21:32Z nhub airline hacks

Tracking Air Fares: Elaborate Algorithms Predict Ticket Prices

by nhub

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]]> Fare Cast http://farecast.live.com/ The air ticket website which predict the air ticket price 2008-06-28T01:22:00Z nachilau nachi, travel, air, ticket

Fare Cast

by nachilau

The air ticket website which predict the air ticket price

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]]> YouTube - The Next Generation of Neural Networks http://www.youtube.com/watch?v=AyzOUbkUf3M In the 1980's, new learning algorithms for neural networks promised to solve difficult classification tasks, like speech or object recognition, by learning many layers of non-linear features. The results were disappointing for two reasons: There was never enough labeled data to learn millions of complicated features and the learning was much too slow in deep neural networks with many layers of features. These problems can now be overcome by learning one layer of features at a time and by changing the goal of learning. Instead of trying to predict the labels, the learning algorithm tries to create a generative model that produces data which looks just like the unlabeled training data. These new neural networks outperform other machine learning methods when labeled data is scarce but unlabeled data is plentiful. An application to very fast document retrieval will be described. 2008-06-24T14:56:13Z ogrisel hinton, google tech talks, machine learning, generative, video, layer, deep neural networks, deep belief networks, ai, deep learning

YouTube - The Next Generation of Neural Networks

by ogrisel

In the 1980's, new learning algorithms for neural networks promised to solve difficult classification tasks, like speech or object recognition, by learning many layers of non-linear features. The results were disappointing for two reasons: There was never enough labeled data to learn millions of complicated features and the learning was much too slow in deep neural networks with many layers of features. These problems can now be overcome by learning one layer of features at a time and by changing the goal of learning. Instead of trying to predict the labels, the learning algorithm tries to create a generative model that produces data which looks just like the unlabeled training data. These new neural networks outperform other machine learning methods when labeled data is scarce but unlabeled data is plentiful. An application to very fast document retrieval will be described.

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]]> BBC NEWS | Asia-Pacific | China earthquake toll jumps again http://newsvote.bbc.co.uk/mpapps/pagetools/print/news.bbc.co.uk/2/hi/asia-pacific/7416035.stm <blockquote><p>Meanwhile, concern is growing over a number of new lakes formed by the force of the earthquake. Thirty-four lakes were created in the province when landslides blocked rivers, Xinhua news agency said. Eight held more than 3 million cubic metres of water and one lake, less than 3km (two miles) from Beichuan town, had doubled in size in four days. Officials are monitoring the lakes and have sent experts to assess them, the agency said. Forecasters predict heavy rain in the region next week, which could further raise the water levels in the lakes.</p></blockquote> terraforning 2008-05-23T09:54:05Z karlcow earthquake, chine

BBC NEWS | Asia-Pacific | China earthquake toll jumps again

by karlcow

Meanwhile, concern is growing over a number of new lakes formed by the force of the earthquake. Thirty-four lakes were created in the province when landslides blocked rivers, Xinhua news agency said. Eight held more than 3 million cubic metres of water and one lake, less than 3km (two miles) from Beichuan town, had doubled in size in four days. Officials are monitoring the lakes and have sent experts to assess them, the agency said. Forecasters predict heavy rain in the region next week, which could further raise the water levels in the lakes.

terraforning

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]]> When is Britney going to Die? - Predict it here! http://whenisbritneygoingtodie.com/ 2008-01-22T18:50:14Z webs delicious, humor, britney, death

When is Britney going to Die? - Predict it here!

by webs

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]]> When Will Amy Winehouse Die? - Predict it here! http://www.whenwillamywinehousedie.com/ <blockquote><p>We’ll all have a date with our maker someday, but Amy Winehouse just can’t seem to wait. She can write and sing a beautiful tune, but for some reason Amy has landed in a self-destruction derby. It is even rumoured that Amy and Pete are keeping the Colombian economy going. She simply looks like a cat’s asshole before it’s been dewormed. Amy is on her way out and as the world is profiting from this decline we thought it only fair that you should profit from it too. Guess her final breath and be crowned Mr. Or Mrs. Death. Winner will be rewarded with a iPod Touch.</p></blockquote> 2008-01-05T21:42:30Z julie Amy Winehouse, music, ipod

When Will Amy Winehouse Die? - Predict it here!

by julie

We’ll all have a date with our maker someday, but Amy Winehouse just can’t seem to wait. She can write and sing a beautiful tune, but for some reason Amy has landed in a self-destruction derby. It is even rumoured that Amy and Pete are keeping the Colombian economy going. She simply looks like a cat’s asshole before it’s been dewormed. Amy is on her way out and as the world is profiting from this decline we thought it only fair that you should profit from it too. Guess her final breath and be crowned Mr. Or Mrs. Death. Winner will be rewarded with a iPod Touch.

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]]> Financial time series forecasting with support vector machines - TeachWiki http://teachwiki.wiwi.hu-berlin.de/index.php/Financial_time_series_forecasting_with_support_vector_machines Stock return predictability has been a subject of great controversy. The debate followed issues from market efficiency to the number of factors containing information on future stock returns. The analytical tool of support vector regression on the other hand, has gained great momentum in its ability to predict time series in various applications and also in finance (Smola and Schölkopf, 1998). The construction of a prediction model requires factors that are believed to have some intrinsic explanatory power. These explanatory factors fall largely into two categories: fundamental and technical. Fundamental factors include for example macroeconimical indicators, which however, are usually only unfrequently published. Technical factors are based solely on the properties of the underlying time series and can therefore be calculated at the same frequency as the time series. Since this study applies support vector regression to high frequent data, only technical factors are considered. 2008-01-05T11:22:13Z ogrisel time series, forcasting, financial analysis, support vector machines

Financial time series forecasting with support vector machines - TeachWiki

by ogrisel

Stock return predictability has been a subject of great controversy. The debate followed issues from market efficiency to the number of factors containing information on future stock returns. The analytical tool of support vector regression on the other hand, has gained great momentum in its ability to predict time series in various applications and also in finance (Smola and Schölkopf, 1998). The construction of a prediction model requires factors that are believed to have some intrinsic explanatory power. These explanatory factors fall largely into two categories: fundamental and technical. Fundamental factors include for example macroeconimical indicators, which however, are usually only unfrequently published. Technical factors are based solely on the properties of the underlying time series and can therefore be calculated at the same frequency as the time series. Since this study applies support vector regression to high frequent data, only technical factors are considered.

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]]> PREDICT THE FUTURE: 20+ Prediction Markets http://mashable.com/2007/11/01/20-prediction-markets/ We’ve gathered 20+ sites to help get you started predicting the future! 2007-11-05T03:18:14Z springnet cool, daily, market, list, exchange, money, business, future, springnet blogmarks

PREDICT THE FUTURE: 20+ Prediction Markets

by springnet

We’ve gathered 20+ sites to help get you started predicting the future!

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]]> Jeffrey Zeldman Presents : Testing designs for color-blindness http://www.zeldman.com/2007/10/10/testing-designs-for-color-blindness/ What toll does color-blindness take on design usability? Even experienced designers and art directors, assuming they think about color-blindness at all, can find it hard to predict how their work will appear to someone with, say, protanopia, the most common form of red-green color-blindness. 2007-10-11T15:42:39Z sbrothier usability, tools, webdesign

Jeffrey Zeldman Presents : Testing designs for color-blindness

by sbrothier

What toll does color-blindness take on design usability? Even experienced designers and art directors, assuming they think about color-blindness at all, can find it hard to predict how their work will appear to someone with, say, protanopia, the most common form of red-green color-blindness.

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]]> ongoing · Bad, Feed Readers, Bad! http://www.tbray.org/ongoing/When/200x/2007/09/14/Lousy-Aggregators <blockquote><p>I liked the final Namespace spec, even though it wasn't what I had originally argued for, but when you have a spec that almost *everyone* ignores or gets wrong (XSLT and SOAP excepted), it might be time to acknowledge that the problem is the spec instead of the implementors. I predict that the use of XML Namespaces will be an ongoing problem for Atom, even though it's not Atom's fault.</p></blockquote> Designing specification <strong>with implementers</strong> 2007-09-16T03:18:18Z karlcow w3c, xml, namespaces

ongoing · Bad, Feed Readers, Bad!

by karlcow

I liked the final Namespace spec, even though it wasn't what I had originally argued for, but when you have a spec that almost *everyone* ignores or gets wrong (XSLT and SOAP excepted), it might be time to acknowledge that the problem is the spec instead of the implementors. I predict that the use of XML Namespaces will be an ongoing problem for Atom, even though it's not Atom's fault.

Designing specification with implementers

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]]> Poodle Predictor - See your site like Google does. Simulate search engines and predict your Google listings. http://www.gritechnologies.com/tools/spider.go 2007-07-10T20:16:15Z JMF web, google, seo

Poodle Predictor - See your site like Google does. Simulate search engines and predict your Google listings.

by JMF & 3 other(s)

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]]> Media Predict: Help Discover Better Music, Books, Television, and Movies. http://mediapredict.com/ 2007-07-02T20:37:02Z Etcetera media, web2.0, predictionmarket, movies

Media Predict: Help Discover Better Music, Books, Television, and Movies.

by Etcetera

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]]> Tapoll | Predict a Poll and Voting Web 2.0 Site http://www.tapoll.com/poll/id/ 2007-02-06T22:13:46Z arkandis delicious, service, online, vote

Tapoll | Predict a Poll and Voting Web 2.0 Site

by arkandis

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]]> Predict Wall Street - The Stock Market Prediction Community http://predictwallstreet.com/ Maybe it's just a hunch. Or maybe you know something that others don't. Predict Wall Street makes it easy to share your predictions and thoughts on future movements in the market. Already, thousands of people are helping prove that our patent-pending Collective Intelligence technology can beat the market! Join now to create a portfolio of your favorite stock picks and see just how accurate we all can be. It's FREE! 2006-11-13T18:54:24Z cyberien finance, community, social network, concept

Predict Wall Street - The Stock Market Prediction Community

by cyberien

Maybe it's just a hunch. Or maybe you know something that others don't. Predict Wall Street makes it easy to share your predictions and thoughts on future movements in the market. Already, thousands of people are helping prove that our patent-pending Collective Intelligence technology can beat the market! Join now to create a portfolio of your favorite stock picks and see just how accurate we all can be. It's FREE!

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]]> Alexa Street http://www.alexastreet.com/index.php Open today, Alexa Street is a website where you can buy and sell shares in websites in order to become the #1 player! Buy low and sell high, determined on alexa.com data you can predict websites that will rise. Go Now! 2006-09-24T08:52:05Z levercusec game, alexa

Alexa Street

by levercusec

Open today, Alexa Street is a website where you can buy and sell shares in websites in order to become the #1 player! Buy low and sell high, determined on alexa.com data you can predict websites that will rise. Go Now!

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]]> BizPredict.com: Where you can help predict the future of business http://www.bizpredict.com/ 与CrowdIQ很像 via http://business2.blogs.com/business2blog/2006/09/introducing_biz.html 2006-09-16T12:53:51Z jackiege marketing, survey, web2site, websites, sns, tools, wisdom, business

BizPredict.com: Where you can help predict the future of business

by jackiege

与CrowdIQ很像 via http://business2.blogs.com/business2blog/2006/09/introducing_biz.html

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]]> Comprendre l’innovation ? Lisez Christensen ! http://nauges.typepad.com/my_weblog/ Comprendre l’innovation ? Lisez Christensen ! Claytonchristensen Clayton M. Christensen, professeur à l’Université de Harvard, a écrit trois livres importants sur l’innovation : - The Innovator's Dilemma - The Innovator's Solution - Seeing What's Next : Using Theories of Innovation to Predict Industry Change Les idées qu’il défend permettent d’appréhender les mécanismes de base de l’innovation et expliquent pourquoi tant d’entreprises et de produits nouveaux échouent. Ces idées s’appliquent à tous les secteurs d’activité, mais sont particulièrement pertinentes pour tout ce qui touche aux technologies de l’information. C’est une lecture indispensable pour toute personne qui s’intéresse sérieusement aux innovations et à leurs impacts. 2006-08-18T20:32:06Z monsieurb innovation, blog

Comprendre l’innovation ? Lisez Christensen !

by monsieurb & 9 other(s)

Comprendre l’innovation ? Lisez Christensen ! Claytonchristensen Clayton M. Christensen, professeur à l’Université de Harvard, a écrit trois livres importants sur l’innovation : - The Innovator's Dilemma - The Innovator's Solution - Seeing What's Next : Using Theories of Innovation to Predict Industry Change Les idées qu’il défend permettent d’appréhender les mécanismes de base de l’innovation et expliquent pourquoi tant d’entreprises et de produits nouveaux échouent. Ces idées s’appliquent à tous les secteurs d’activité, mais sont particulièrement pertinentes pour tout ce qui touche aux technologies de l’information. C’est une lecture indispensable pour toute personne qui s’intéresse sérieusement aux innovations et à leurs impacts.

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]]> Comprendre l’innovation ? Lisez Christensen ! http://nauges.typepad.com/my_weblog/ Comprendre l’innovation ? Lisez Christensen ! Claytonchristensen Clayton M. Christensen, professeur à l’Université de Harvard, a écrit trois livres importants sur l’innovation : - The Innovator's Dilemma - The Innovator's Solution - Seeing What's Next : Using Theories of Innovation to Predict Industry Change Les idées qu’il défend permettent d’appréhender les mécanismes de base de l’innovation et expliquent pourquoi tant d’entreprises et de produits nouveaux échouent. Ces idées s’appliquent à tous les secteurs d’activité, mais sont particulièrement pertinentes pour tout ce qui touche aux technologies de l’information. C’est une lecture indispensable pour toute personne qui s’intéresse sérieusement aux innovations et à leurs impacts. 2006-08-18T20:01:47Z camel conseil, blog, innovation

Comprendre l’innovation ? Lisez Christensen !

by camel & 9 other(s)

Comprendre l’innovation ? Lisez Christensen ! Claytonchristensen Clayton M. Christensen, professeur à l’Université de Harvard, a écrit trois livres importants sur l’innovation : - The Innovator's Dilemma - The Innovator's Solution - Seeing What's Next : Using Theories of Innovation to Predict Industry Change Les idées qu’il défend permettent d’appréhender les mécanismes de base de l’innovation et expliquent pourquoi tant d’entreprises et de produits nouveaux échouent. Ces idées s’appliquent à tous les secteurs d’activité, mais sont particulièrement pertinentes pour tout ce qui touche aux technologies de l’information. C’est une lecture indispensable pour toute personne qui s’intéresse sérieusement aux innovations et à leurs impacts.

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]]>