Sciweavers

8970 search results - page 214 / 1794
» Learning to Learn Causal Models
Sort
View
135
Voted
HICSS
2003
IEEE
138views Biometrics» more  HICSS 2003»
15 years 10 months ago
The BASP Agent-Based Modeling Framework: Applications, Scenarios and Lessons Learned
The Behavior Action Simulation Platform (BASP) has been in existence since early 2000, when it was first applied to small-team reconnaissance scenarios for the United States Marin...
David S. Dixon, William N. Reynolds
ICMLA
2007
15 years 6 months ago
Control of a re-entrant line manufacturing model with a reinforcement learning approach
This paper presents the application of a reinforcement learning (RL) approach for the near-optimal control of a re-entrant line manufacturing (RLM) model. The RL approach utilizes...
José A. Ramírez-Hernández, Em...
AIPS
2006
15 years 6 months ago
Combining Stochastic Task Models with Reinforcement Learning for Dynamic Scheduling
We view dynamic scheduling as a sequential decision problem. Firstly, we introduce a generalized planning operator, the stochastic task model (STM), which predicts the effects of ...
Malcolm J. A. Strens
EMNLP
2010
15 years 3 months ago
Cross Language Text Classification by Model Translation and Semi-Supervised Learning
In this paper, we introduce a method that automatically builds text classifiers in a new language by training on already labeled data in another language. Our method transfers the...
Lei Shi, Rada Mihalcea, Mingjun Tian
STOC
2000
ACM
174views Algorithms» more  STOC 2000»
15 years 9 months ago
Noise-tolerant learning, the parity problem, and the statistical query model
We describe a slightly subexponential time algorithm for learning parity functions in the presence of random classification noise, a problem closely related to several cryptograph...
Avrim Blum, Adam Kalai, Hal Wasserman