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» Agnostic Domain Adaptation
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144
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GECCO
2006
Springer
141views Optimization» more  GECCO 2006»
15 years 7 months ago
Towards effective adaptive random testing for higher-dimensional input domains
Adaptive Random Testing subsumes a class of algorithms that detect the first failure with less test cases than Random Testing. The present paper shows that a "reference metho...
Johannes Mayer
113
Voted
COLT
2008
Springer
15 years 5 months ago
Adaptive Aggregation for Reinforcement Learning with Efficient Exploration: Deterministic Domains
We propose a model-based learning algorithm, the Adaptive Aggregation Algorithm (AAA), that aims to solve the online, continuous state space reinforcement learning problem in a de...
Andrey Bernstein, Nahum Shimkin
148
Voted
MM
2009
ACM
178views Multimedia» more  MM 2009»
15 years 10 months ago
Semantic context transfer across heterogeneous sources for domain adaptive video search
Automatic video search based on semantic concept detectors has recently received significant attention. Since the number of available detectors is much smaller than the size of h...
Yu-Gang Jiang, Chong-Wah Ngo, Shih-Fu Chang
ACML
2009
Springer
15 years 8 months ago
Learning Algorithms for Domain Adaptation
A fundamental assumption for any machine learning task is to have training and test data instances drawn from the same distribution while having a sufficiently large number of tra...
Manas A. Pathak, Eric Nyberg
110
Voted
EMNLP
2007
15 years 4 months ago
Pro3Gres Parser in the CoNLL Domain Adaptation Shared Task
We present Pro3Gres, a deep-syntactic, fast dependency parser that combines a handwritten competence grammar with probabilistic performance disambiguation and that has been used i...
Gerold Schneider, Kaarel Kaljurand, Fabio Rinaldi,...