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Data Mining in Python
This is a collection of libraries useful for machine learning and data mining. It requires Python 2.3 or 2.2 and the Orange machine learning framework library, both freely downloadable.The Kernel Trick for Distances
Kernel are distances in some spaceIndex of /afs/sipb.mit.edu/user/arolfe/matlab
Lot of matlab AI algoritmsWeka 3 - Data Mining with Open Source Machine Learning Software in Java
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 prTorch3: The Dream Comes True
It's a machine-learning library, written in simple C++ and distributed now under a BSD license.AI in Python
Semantic NetworksPaolo Frasconi's Home Page
Professore di Intelligenza Artificiale (AI), Machine Learning e Findamenti di Informatica 2Noble Ape Simulation: 1 November 2005
The aim of the simulation is to create a detailed biological environment and a cognitive simulation.Metodi per il ragionamento automatico
Tracce delle lezioni, brevi ma efficaciModular toolkit for Data Processing (MDP)
Modular toolkit for Data Processing (MDP) is a Python data processing framework. Implemented algorithms include: Principal Component Analysis (PCA), Independent Component Analysis (ICA), Slow FeaturePyML Webpage
PyML - a Python machine learning packageResearch | Karypis Lab
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 retrieFast Artificial Neural Network Library
Fast Artificial Neural Network Library implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks.Olvi L. Mangasarian's Home Page, Optimization, data mining, classification & support vector machines
Interesiting: Proximal Support Vector Machine ClassifiersAPRIORI implementation of Ferenc Bodon
APRIORI algorithm was originally proposed by Agrawal in "Fast Algorithms for Mining Association Rules" in 1994 to find frequent itemsets and association rules in a transaction database. HereOnline Bayes Point Machines
Algoritmo perceptron-like con N perceptron in parallelo
