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» A New Way to Introduce Knowledge into Reinforcement Learning
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AAAI
1998
15 years 1 months ago
Modeling Web Sources for Information Integration
The Web is based on a browsing paradigm that makes it di cult to retrieve and integrate data from multiple sites. Today, the only way to do this is to build specialized applicatio...
Craig A. Knoblock, Steven Minton, José Luis...
CVPR
2010
IEEE
15 years 8 months ago
Object-Graphs for Context-Aware Category Discovery
How can knowing about some categories help us to discover new ones in unlabeled images? Unsupervised visual category discovery is useful to mine for recurring objects without huma...
Yong Jae Lee, Kristen Grauman
IWSDS
2010
14 years 9 months ago
D3 Toolkit: A Development Toolkit for Daydreaming Spoken Dialog Systems
Recently various data-driven spoken language technologies have been applied to spoken dialog system development. However, high cost of maintaining the spoken dialog systems is one ...
Donghyeon Lee, Kyungduk Kim, Cheongjae Lee, Junhwi...
SBMF
2010
Springer
205views Formal Methods» more  SBMF 2010»
14 years 6 months ago
A High-Level Language for Modeling Algorithms and Their Properties
Designers of concurrent and distributed algorithms usually express them using pseudo-code. In contrast, most verification techniques are based on more mathematically-oriented forma...
Sabina Akhtar, Stephan Merz, Martin Quinson
FLAIRS
2011
14 years 3 months ago
Given Bilingual Terminology in Statistical Machine Translation: MWE-Sensitve Word Alignment and Hierarchical Pitman-Yor Process-
This paper considers a scenario when we are given almost perfect knowledge about bilingual terminology in terms of a test corpus in Statistical Machine Translation (SMT). When the...
Tsuyoshi Okita, Andy Way