Multi-Layer Perceptron in Java
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Updated
Jul 27, 2010 - Java
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
Multi-Layer Perceptron in Java
Boris Reuderink's PhD thesis "Robust Brain-Computer Interfaces"
Simple perceptron implementation on Haskell
An implementation of K-Means algorithm in R
Core vector machine
A collection of simple machine learning algorithms
ID3 Decision Tree algorithm
Evaluate various supervised learning methods to predict cohesive energies of solids (kernel ridge regression is the best)
CS 229 Project for constellation clustering
Similarity Search Script
source code about machine learning.
Performs OCR on the MNIST dataset. From my BSc. AI & Robotics at Prifysgol Aberystwyth
The Ruby DataMining Gem, is a little collection of several Data-Mining-Algorithms
Tanh hidden activations, softmax outputs and cross-entropy error.
Reject Option with Ordinal Learning Algorithms
An implementation to a kernel based co-agreement algorithm
Bidirectional Helmholtz Machines