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» Learning Algorithms for Domain Adaptation
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ACL
2004
15 years 4 months ago
Adaptive Chinese Word Segmentation
This paper presents a Chinese word segmentation system which can adapt to different domains and standards. We first present a statistical framework where domain-specific words are...
Jianfeng Gao, Andi Wu, Cheng-Ning Huang, Hongqiao ...
ICML
2006
IEEE
16 years 3 months ago
Locally adaptive classification piloted by uncertainty
Locally adaptive classifiers are usually superior to the use of a single global classifier. However, there are two major problems in designing locally adaptive classifiers. First,...
Juan Dai, Shuicheng Yan, Xiaoou Tang, James T. Kwo...
ICML
2010
IEEE
15 years 29 days ago
Temporal Difference Bayesian Model Averaging: A Bayesian Perspective on Adapting Lambda
Temporal difference (TD) algorithms are attractive for reinforcement learning due to their ease-of-implementation and use of "bootstrapped" return estimates to make effi...
Carlton Downey, Scott Sanner
ACMICEC
2007
ACM
102views ECommerce» more  ACMICEC 2007»
15 years 7 months ago
Learning to trade with insider information
This paper introduces algorithms for learning how to trade using insider (superior) information in Kyle's model of financial markets. Prior results in finance theory relied o...
Sanmay Das
ICRA
2008
IEEE
169views Robotics» more  ICRA 2008»
15 years 9 months ago
Sparse incremental learning for interactive robot control policy estimation
— We are interested in transferring control policies for arbitrary tasks from a human to a robot. Using interactive demonstration via teloperation as our transfer scenario, we ca...
Daniel H. Grollman, Odest Chadwicke Jenkins