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102
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ICML
2008
IEEE
16 years 1 months ago
An object-oriented representation for efficient reinforcement learning
Rich representations in reinforcement learning have been studied for the purpose of enabling generalization and making learning feasible in large state spaces. We introduce Object...
Carlos Diuk, Andre Cohen, Michael L. Littman
99
Voted
ECML
2005
Springer
15 years 6 months ago
Active Learning for Probability Estimation Using Jensen-Shannon Divergence
Active selection of good training examples is an important approach to reducing data-collection costs in machine learning; however, most existing methods focus on maximizing classi...
Prem Melville, Stewart M. Yang, Maytal Saar-Tsecha...
110
Voted
ICCS
2005
Springer
15 years 6 months ago
Efficient Interactive Pre-integrated Volume Rendering
Pre-integrated volume rendering has become one of the most efficient and important techniques in three dimensional medical visualization. It can produce high-quality images with le...
Heewon Kye, Helen Hong, Yeong-Gil Shin
97
Voted
COLT
2004
Springer
15 years 6 months ago
Regularization and Semi-supervised Learning on Large Graphs
We consider the problem of labeling a partially labeled graph. This setting may arise in a number of situations from survey sampling to information retrieval to pattern recognition...
Mikhail Belkin, Irina Matveeva, Partha Niyogi
122
Voted
RT
1998
Springer
15 years 5 months ago
Global Ray-Bundle Tracing with Hardware Acceleration
The paper presents a single-pass, view-dependent method to solve the general rendering equation, using a combined finite element and random walk approach. Applying finite element t...
László Szirmay-Kalos, Werner Purgath...