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NIPS
2008
15 years 3 months ago
Temporal Difference Based Actor Critic Learning - Convergence and Neural Implementation
Actor-critic algorithms for reinforcement learning are achieving renewed popularity due to their good convergence properties in situations where other approaches often fail (e.g.,...
Dotan Di Castro, Dmitry Volkinshtein, Ron Meir
ACL
2004
15 years 3 months ago
Multi-Criteria-based Active Learning for Named Entity Recognition
In this paper, we propose a multi-criteriabased active learning approach and effectively apply it to named entity recognition. Active learning targets to minimize the human annota...
Dan Shen, Jie Zhang, Jian Su, Guodong Zhou, Chew L...
FLAIRS
2006
15 years 3 months ago
One-Shot Procedure Learning from Instruction and Observation
Learning tasks from a single demonstration presents a significant challenge because the observed sequence is inherently an incomplete representation of the procedure that is speci...
Hyuckchul Jung, James F. Allen, Nathanael Chambers...
COLING
1994
15 years 3 months ago
A Corpus-Based Learning Technique for Building A Self-Extensible Parser
IIuman intervention and/or training corpora tagged with various kinds of information were often assumed in many natural language acquisition models. This assumption is a major sou...
Rey-Long Liu, Von-Wun Soo
ICANN
2010
Springer
15 years 3 months ago
Learning Invariant Visual Shape Representations from Physics
3D shape determines an object's physical properties to a large degree. In this article, we introduce an autonomous learning system for categorizing 3D shape of simulated objec...
Mathias Franzius, Heiko Wersing