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» Learning Algorithms for Domain Adaptation
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115
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AIPS
2010
15 years 28 days ago
Iterative Learning of Weighted Rule Sets for Greedy Search
Greedy search is commonly used in an attempt to generate solutions quickly at the expense of completeness and optimality. In this work, we consider learning sets of weighted actio...
Yuehua Xu, Alan Fern, Sung Wook Yoon
IUI
2009
ACM
15 years 9 months ago
From geek to sleek: integrating task learning tools to support end users in real-world applications
Numerous techniques exist to help users automate repetitive tasks; however, none of these methods fully support enduser creation, use, and modification of the learned tasks. We pr...
Aaron Spaulding, Jim Blythe, Will Haines, Melinda ...
107
Voted
COLT
2008
Springer
15 years 2 months ago
Regret Bounds for Sleeping Experts and Bandits
We study on-line decision problems where the set of actions that are available to the decision algorithm vary over time. With a few notable exceptions, such problems remained larg...
Robert D. Kleinberg, Alexandru Niculescu-Mizil, Yo...
103
Voted
MVA
1992
127views Computer Vision» more  MVA 1992»
15 years 1 months ago
A Parallel Topological Map for Image Segmentation
We present a new algorithm for topological feature mapping. It is compared to other known feature mapping algorithmslike that proposed by Kohonen or Bertsch. The main difference t...
Dinu Scheppelmann, Jochen Frey, Manuela Schäf...
91
Voted
ICAI
2004
15 years 2 months ago
Action Inhibition
An explicit exploration strategy is necessary in reinforcement learning (RL) to balance the need to reduce the uncertainty associated with the expected outcome of an action and the...
Myriam Abramson