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112
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ECAI
2006
Springer
15 years 4 months ago
Efficient Knowledge Acquisition for Extracting Temporal Relations
Abstract. Machine learning approaches in natural language processing often require a large annotated corpus. We present a complementary approach that utilizes expert knowledge to o...
Son Bao Pham, Achim G. Hoffmann
97
Voted
ACCV
2009
Springer
15 years 7 months ago
An Online Framework for Learning Novel Concepts over Multiple Cues
Abstract. We propose an online learning algorithm to tackle the problem of learning under limited computational resources in a teacher-student scenario, over multiple visual cues. ...
Luo Jie, Francesco Orabona, Barbara Caputo
ECML
2005
Springer
15 years 6 months ago
Model-Based Online Learning of POMDPs
Abstract. Learning to act in an unknown partially observable domain is a difficult variant of the reinforcement learning paradigm. Research in the area has focused on model-free m...
Guy Shani, Ronen I. Brafman, Solomon Eyal Shimony
112
Voted
ITS
2004
Springer
123views Multimedia» more  ITS 2004»
15 years 6 months ago
Combining Heuristics and Formal Methods in a Tool for Supporting Simulation-Based Discovery Learning
Abstract. This paper describes the design of a tool to support learners in simulation-based discovery learning environments. The design redesigns and extents a previous tool to ove...
Koen Veermans, Wouter R. van Joolingen
ICML
2006
IEEE
16 years 1 months ago
An analytic solution to discrete Bayesian reinforcement learning
Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...
Pascal Poupart, Nikos A. Vlassis, Jesse Hoey, Kevi...