Emergent (a major rewrite of PDP++) is a comprehensive simulation environment for creating complex, sophisticated models of the brain and cognitive processes using neural network models.
My primary research interests are concentrated in the areas of bioinformatics, data mining, and parallel processing, and from time-to-time I look at various problems in the areas of information retrieval, collaborative filtering, and electronic design aut
Bow (or libbow) is a library of C code useful for writing statistical text analysis, language modeling and information retrieval programs. The current distribution includes the library, as well as front-ends for document classification (rainbow), document
Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, a
This paper deals with the automated creation of ge-
ometric and photometric correct 3-D models of the
world. Those models can be used for virtual reality, tele–
presence, digital cinematography and urban planning ap-
plications. The combination of range (dense depth esti-
mates) and image sensing (color information) provides
data–sets which allow us to create geometrically correct,
photorealistic models of high quality.
The course covers supervised approaches to machine learning. It starts by reviewing fundamentals of statistical learning and probabilistic pattern recognition followed by an in-depth introduction to various supervised learning algorithms such as Least Squ
Pyro stands for Python Robotics. The goal of the project is to provide a programming environment for easily exploring advanced topics in artificial intelligence and robotics without having to worry about the low-level details of the underlying hardware.