RESEARCH | Hasegawa Lab., Imaging Science and Engineering Laboratory. Tokyo Institute of Technology In this page, we introduce our unsupervised online incremental learning method, Self-Organizing Incremental Neural Network (SOINN). We will release the 2nd-Generation SOINN, which is designed based on the Bayes Theory. What is SOINN? The SOINN is an unsupervised online-learning method, which is capable of incremental learning, based on Growing Neural Gas (GNG) and Self-Organizing Map (SOM).
Bayesian Computation Emerges in Generic Cortical Microcircuits through Spike-Timing-Dependent Plasticity
At its core, RoboEarth is a World Wide Web for robots: a giant network and database repository where robots can share information and learn from each other about their behavior and their environment. What is RoboEarth ?
Resurgence in Neural Networks - tjake.blog If you’ve been paying attention, you’ll notice there has been a lot of news recently about neural networks and the brain.
Towards the evolution of an artificial homeostatic system
Programming Collective Intelligence Subscriber Reviews Average Rating: Based on 8 Ratings "Useful book on machine learning, etc." - by Alex Ott on 20-JUL-2011Reviewer Rating:
Temporal difference learning Temporal difference (TD) learning is an approach to learning how to predict a quantity that depends on future values of a given signal. The name TD derives from its use of changes, or differences, in predictions over successive time steps to drive the learning process. The prediction at any given time step is updated to bring it closer to the prediction of the same quantity at the next time step. It is a supervised learning process in which the training signal for a prediction is a future prediction.
Heuristic search project