890 search results - page 73 / 178 » Learning a Generative Model for Structural Representations |
ICML
2002
IEEE
14 years 11 months ago
2002
IEEE
One of the central challenges in reinforcement learning is to balance the exploration/exploitation tradeoff while scaling up to large problems. Although model-based reinforcement ...
IJHIS
2006
13 years 10 months ago
2006
In this paper, a new evolutionary computing model, called CLA-EC, is proposed. This model is a combination of a model called cellular learning automata (CLA) and the evolutionary ...
ICML
2007
IEEE
14 years 11 months ago
2007
IEEE
We present a new machine learning approach for 3D-QSAR, the task of predicting binding affinities of molecules to target proteins based on 3D structure. Our approach predicts bind...
ICML
2010
IEEE
13 years 11 months ago
2010
IEEE
We consider the problem of multi-task reinforcement learning where the learner is provided with a set of tasks, for which only a small number of samples can be generated for any g...
NIPS
2001
13 years 11 months ago
2001
This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...