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» Relational Reinforcement Learning
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243
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FOIKS
2008
Springer
16 years 3 months ago
Cost-minimising strategies for data labelling : optimal stopping and active learning
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
Christos Dimitrakakis, Christian Savu-Krohn
ICCAD
2002
IEEE
146views Hardware» more  ICCAD 2002»
16 years 3 months ago
Conflict driven learning in a quantified Boolean Satisfiability solver
Within the verification community, there has been a recent increase in interest in Quantified Boolean Formula evaluation (QBF) as many interesting sequential circuit verification ...
Lintao Zhang, Sharad Malik
HICSS
2008
IEEE
147views Biometrics» more  HICSS 2008»
16 years 1 months ago
Can Peer-to-Peer Networks Facilitate Information Sharing in Collaborative Learning?
Many peer-to-peer (P2P) networks have been widely used for file sharing. A peer acts both as a content provider and a consumer, and is granted autonomy to decide what content, wit...
Fu-ren Lin, Sheng-cheng Lin, Ying-fen Wang
168
Voted
ICDM
2007
IEEE
187views Data Mining» more  ICDM 2007»
16 years 1 months ago
A Comparative Study of Methods for Transductive Transfer Learning
The problem of transfer learning, where information gained in one learning task is used to improve performance in another related task, is an important new area of research. While...
Andrew Arnold, Ramesh Nallapati, William W. Cohen
175
Voted
ICRA
2007
IEEE
157views Robotics» more  ICRA 2007»
16 years 1 months ago
Learning to Select State Machines using Expert Advice on an Autonomous Robot
— Hierarchical state machines have proven to be a powerful tool for controlling autonomous robots due to their flexibility and modularity. For most real robot implementations, h...
Brenna Argall, Brett Browning, Manuela M. Veloso