Nomatic*IM provides a service that supports the convenient and appropriate broadcasting of presence through instant messaging clients. It provides the flexibility to support multiple IM protocols, IM clients, and operating systems. From a high-level, what Nomatic*IM does is to figure out where you are and what you are doing from the sensors that come with your computing platform. That information is processed with machine learning techniques to develop a semantic interpretation about the name of your current place, activity, and social context.
RISO is an implementation of heterogeneous, distributed belief networks in Java. A belief network is a probability model defined on an acyclic directed graph; distributed means nodes can be on different hosts, and heterogeneous means allowing different conditional distributions. The calculations involved are multidimensional integrations; exact results are known for a catalog of special cases. If a partial result cannot be calculated as a special case from the catalog, RISO computes an approximate result by numerical integration. Partial results are passed from one node in the graph to another as messages; if nodes live on different hosts, the belief network is said to be distributed. Messages are passed via RMI. Many example belief networks and lengthy documents are included in the RISO release bundle.
Proper nouns is a PHP class that can extract proper nouns from texts. It takes a text string and can detect which words may be proper nouns of people or other entities. It uses some heuristics like the capitalization of the first letter of a word, the presence of a person's title preceding the nouns, etc. The class may consider consecutive proper names as a single proper name. The class assumes English by default but may be configured to work with other idioms.
Bayesian Spam Filter is a class that can be used to detect spam in text messages using Bayesian techniques. It analyzes the text in terms of n-grams in a way that is idiom independent. It can be trained to progressively distinguish what is spam and what is not spam by detecting patterns in training samples. Training data is stored in a MySQL database.
The Spider is a complete object-oriented environment for machine learning in Matlab. Aside from ease of use for base learning algorithms, algorithms can be plugged together and can be compared with, for example, model selection, statistical tests, and visual plots. This gives all the power of objects (reusability, the ability to plug together, sharing of code), but also all the power of Matlab for machine learning research.
The RL-Glue is intended to provide a foundation for building benchmarks for reinforcement learning (RL) agents. A secondary goal is to support RL competitions in which agents are compared in their performance on new problems that are only revealed at the time of a competition. The current version of the interface software supports direct function call communication between agents and environments written in C. The interface software also provides a standard mechanism for communication between agents and environments written in different programming languages.
Amiba is a Gene Expression Programming (GEP) framework for Java. GEP is, like genetic algorithms, a branch of evolutionary computing. The framework separates the process of evolution from the process of interpretation of the chromosome, allowing the use of various schemes. For example, graphs may be used as terminals and graph operations as operators in the chromosome instead of the usual double precision numbers. It implements mutation, transposition, and recombination. Options and rates are easily configured through an XML file. A mechanism to load fitness cases in bulk is also provided.