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ICML
2005
IEEE
16 years 4 months ago
A model for handling approximate, noisy or incomplete labeling in text classification
We introduce a Bayesian model, BayesANIL, that is capable of estimating uncertainties associated with the labeling process. Given a labeled or partially labeled training corpus of...
Ganesh Ramakrishnan, Krishna Prasad Chitrapura, Ra...
149
Voted
ICML
1998
IEEE
16 years 4 months ago
Value Function Based Production Scheduling
Production scheduling, the problem of sequentially con guring a factory to meet forecasted demands, is a critical problem throughout the manufacturing industry. The requirement of...
Jeff G. Schneider, Justin A. Boyan, Andrew W. Moor...
SASO
2009
IEEE
15 years 10 months ago
Distributed W-Learning: Multi-Policy Optimization in Self-Organizing Systems
—Large-scale agent-based systems are required to self-optimize towards multiple, potentially conflicting, policies of varying spatial and temporal scope. As a result, not all ag...
Ivana Dusparic, Vinny Cahill
PKDD
2009
Springer
152views Data Mining» more  PKDD 2009»
15 years 10 months ago
Feature Selection for Value Function Approximation Using Bayesian Model Selection
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
Tobias Jung, Peter Stone
134
Voted
IROS
2007
IEEE
172views Robotics» more  IROS 2007»
15 years 10 months ago
Motor control optimization of compliant one-legged locomotion in rough terrain
— While underactuated robotic systems are capable of energy efficient and rapid dynamic behavior, we still do not fully understand how body dynamics can be actively used for ada...
Fumiya Iida, Russ Tedrake