PUBLIC MARKS with search likelihood

Our data bank contains information and ratings of many thousand files. The high quality of all information is ensured by our research center, professional participants and a moderated forum. Files are rated by a technical analyse based on their properties such as embedded hidden functions (e.g. keyboard monitoring, autostart entry, browser supervision or manipulation) and process type such as visible window, systray program, DLL, IE-plugin, service, and more. The security score indicates the likelihood of the process being potential malware, spyware, trojan or keylogger.

BPSpecial: "Made in France": Can Luxury Brands Counterfeiting Really Be Stopped? (via Likelihood of confusion)

OsmoseRSS is an RSS aggregator that leverages the power of social collaborative filtering through tagging. It is a project under development at the Center for Open and Sustainable Learning that allows people to import, store, share and manage RSS feeds in bulk or individually. These RSS feeds can come from blogs, bookmark sharing sites such as del.icio.us, photo sharing sites such as flickr, open educational resource sites, news sites, and any other RSS-producing source. In addition to its functionality as an aggregator, OsmoseRSS encourages social interaction to help users find others with similar interests. Users tag RSS feeds as they add them to OsmoseRSS. When the RSS feeds are pulled into OsmoseRSS, the system processes the incoming data for tags embedded in the data and includes those tags as part of the description of each entry. Just like del.icio.us and flickr, those tags are exposed to the entire community. Users can then find other resources that have been tagged with keywords that are of interest. In addition, the source of each feed is tracked so that users can find and connect with people with similar interests. This exposes users to content that is being added by other individuals and to the individuals who are producing data. This results in a relatively high likelihood of discovery of other data or people who are of interest. OsmoseRSS encourages the formation of groups where users with similar ideas or interests can gather to share open resources. Groups inside OsmoseRSS can share resources, collaboratively filter and rank resources, review one another's work, create a shared folksonomy, and discover new people and resources. Within a group a user may contribute RSS feeds filtered by tags or vote on resources provided by other users. In addition, if a resource is found that is critical for the group the group may create a static link that always remains. Examples, of this type of resource include a group FAQ or a link to a discussion forum. Any user of the system may create groups. Instead of discarding old data, OsmoseRSS retains the data provided by RSS feeds. The advantage of this strategy is that all data from all RSS feeds is available to make recommendations and for users to search. This approach ensures that once a resource is tagged users will have access to it in the future.

Generative-discriminative Hybrid Technique We plan to use a technique that combines two kinds of learning algorithms: discriminative and generative. We plan to employ Bayesian networks in the generative phase, and SVM in the discriminative phase. Algorithms under the generative framework try to find a statistical model that best represents the data. The predictions are then based on the likelihood scores derived from the model. This category includes algorithms such as Hidden Markov Models (HMM) [1], Gaussian Mixture Models (GMM) [2] and more complicated graphical models such as Bayesian networks [3].

Anybody thinking about buying or selling a house this spring probably is asking the same questions: In terms of historical real-estate cycles… (Read More) Source: The Seattle Times: Real Estate

OsmoseRSS is an RSS aggregator that leverages the power of social collaborative filtering through tagging. It is a project under development at the Center for Open and Sustainable Learning that allows people to import, store, share and manage RSS feeds in bulk or individually. These RSS feeds can come from blogs, bookmark sharing sites such as del.icio.us, photo sharing sites such as flickr, open educational resource sites, news sites, and any other RSS-producing source. In addition to its functionality as an aggregator, OsmoseRSS encourages social interaction to help users find others with similar interests. Users tag RSS feeds as they add them to OsmoseRSS. When the RSS feeds are pulled into OsmoseRSS, the system processes the incoming data for tags embedded in the data and includes those tags as part of the description of each entry. Just like del.icio.us and flickr, those tags are exposed to the entire community. Users can then find other resources that have been tagged with keywords that are of interest. In addition, the source of each feed is tracked so that users can find and connect with people with similar interests. This exposes users to content that is being added by other individuals and to the individuals who are producing data. This results in a relatively high likelihood of discovery of other data or people who are of interest. OsmoseRSS encourages the formation of groups where users with similar ideas or interests can gather to share open resources. Groups inside OsmoseRSS can share resources, collaboratively filter and rank resources, review one another's work, create a shared folksonomy, and discover new people and resources. Within a group a user may contribute RSS feeds filtered by tags or vote on resources provided by other users. In addition, if a resource is found that is critical for the group the group may create a static link that always remains. Examples, of this type of resource include a group FAQ or a link to a discussion forum. Any user of the system may create groups. Instead of discarding old data, OsmoseRSS retains the data provided by RSS feeds. The advantage of this strategy is that all data from all RSS feeds is available to make recommendations and for users to search. This approach ensures that once a resource is tagged users will have access to it in the future.

OsmoseRSS is an RSS aggregator that leverages the power of social collaborative filtering through tagging. It is a project under development at the Center for Open and Sustainable Learning that allows people to import, store, share and manage RSS feeds in bulk or individually. These RSS feeds can come from blogs, bookmark sharing sites such as del.icio.us, photo sharing sites such as flickr, open educational resource sites, news sites, and any other RSS-producing source. In addition to its functionality as an aggregator, OsmoseRSS encourages social interaction to help users find others with similar interests. Users tag RSS feeds as they add them to OsmoseRSS. When the RSS feeds are pulled into OsmoseRSS, the system processes the incoming data for tags embedded in the data and includes those tags as part of the description of each entry. Just like del.icio.us and flickr, those tags are exposed to the entire community. Users can then find other resources that have been tagged with keywords that are of interest. In addition, the source of each feed is tracked so that users can find and connect with people with similar interests. This exposes users to content that is being added by other individuals and to the individuals who are producing data. This results in a relatively high likelihood of discovery of other data or people who are of interest. OsmoseRSS encourages the formation of groups where users with similar ideas or interests can gather to share open resources. Groups inside OsmoseRSS can share resources, collaboratively filter and rank resources, review one another's work, create a shared folksonomy, and discover new people and resources. Within a group a user may contribute RSS feeds filtered by tags or vote on resources provided by other users. In addition, if a resource is found that is critical for the group the group may create a static link that always remains. Examples, of this type of resource include a group FAQ or a link to a discussion forum. Any user of the system may create groups. Instead of discarding old data, OsmoseRSS retains the data provided by RSS feeds. The advantage of this strategy is that all data from all RSS feeds is available to make recommendations and for users to search. This approach ensures that once a resource is tagged users will have access to it in the future.

People do not realize how easy it is to significantly improve your computer's security and reduce the likelihood of becoming a victim to ever increasingly sophisticated threats that lurk on the internet.

At Home DNA Paternity Test information for Child Custody - Child Support - Father's Rights and more... In most cases DNA paternity tests are used to determine child support, child custody and/or father's rights issues. Establishing paternity not only settles legal questions, but can also give peace of mind to all parties concerned. The mother, the father, the child and the grandparents. Our DNA paternity test kits are Fast, Easy, Accurate, Reliable, Affordable, Painless and Bloodless. This DNA test provides scientific proof, showing the likelihood that the man being tested is or is not the biological father. We also offer Prenatal DNA paternity testing which can be done as soon as the end of the first trimester of pregnancy.

Search engine that provides red, amber and green ratings for search results, based on the likelihood that the site will download malicious software. This is very similar to SiteAdvisor, but in this case the ratings are displayed on a centralized site, rather than through a browser extension. You can search with Google or MSN - Yahoo and Ask are coming soon. Personally I prefer the distributed model that SiteAdvisor is trying.

Phylogenetic Analysis by Maximum Likelihood (PAML)

Maximum likelihood analysis of molecular sequence data

DWR reduces Ajax development time and the likelihood of errors by providing commonly used functions and removing almost all of the repetitive code normally associated with highly interactive web sites. DWR is freely available as open source software. It is straightforward to implement with extensive libraries, examples and tutorials. Incorporating it into existing sites is simple as it readily integrates with the most commonly used Java frameworks. One of my favorite Ajax toolkits.