Supervised

The large classification margin is the most usual approach to achieve good generalization. The most known maximal margin algorithm is SVM, for which different kernels have been investigated. Unfortunately, in the context of some real world problems, such as on-the-fly object detection, the use of...


Platforms: Matlab

This software has been realized by Chaitanya Sai at the CNS Technology Lab at Boston University (http://techlab.bu.edu/). More info is available at http://techlab.bu.edu/resources/software_v...ed_artmap_code/.Memories in Adaptive Resonance Theory (ART) networks are based on matched patterns that...


Platforms: Matlab

The first CNN appeared in the work of Fukushima in 1980 and was called Neocognitron. The basic architectural ideas behind the CNN (local receptive fields,shared weights, and spatial or temporal subsampling) allow such networks to achieve some degree of shift and deformation invariance and at the...


Platforms: Matlab

PCP (Pattern Classification Program) is an open-source machine learning program for supervised classification of patterns. PCP is a binary executable running on Linux and Windows (under Cygwin environment).


Platforms: *nix

Easy-to-use and general-purpose machine learning in Python scikits.learn is a Python module integrating classic machine learning algorithms in the tightly-knit world of scientific Python packages (numpy, scipy, matplotlib). It aims to provide simple and efficient solutions to learning problems...


Platforms: *nix