890 search results - page 73 / 178 » Learning a Generative Model for Structural Representations |
124
Voted
ICML
2002
IEEE
16 years 3 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 ...
143
Voted
IJHIS
2006
15 years 2 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 ...
116
click to vote
ICML
2007
IEEE
16 years 3 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...
109
click to vote
ICML
2010
IEEE
15 years 3 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...
126
click to vote
NIPS
2001
15 years 3 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...