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» Learning Coherent Concepts
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EMNLP
2009
13 years 5 months ago
Toward Completeness in Concept Extraction and Classification
Many algorithms extract terms from text together with some kind of taxonomic classification (is-a) link. However, the general approaches used today, and specifically the methods o...
Eduard H. Hovy, Zornitsa Kozareva, Ellen Riloff
ECML
2006
Springer
13 years 11 months ago
Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
Corneliu Henegar, Karine Clément, Jean-Dani...
COLING
2008
13 years 7 months ago
Modeling Local Coherence: An Entity-Based Approach
This paper considers the problem of automatic assessment of local coherence. We present a novel entity-based representation of discourse which is inspired by Centering Theory and ...
Regina Barzilay, Mirella Lapata
AIMSA
2004
Springer
13 years 11 months ago
Towards Well-Defined Multi-agent Reinforcement Learning
Multi-agent reinforcement learning (MARL) is an emerging area of research. However, it lacks two important elements: a coherent view on MARL, and a well-defined problem objective. ...
Rinat Khoussainov
TKDE
2012
226views Formal Methods» more  TKDE 2012»
11 years 10 months ago
DDD: A New Ensemble Approach for Dealing with Concept Drift
—Online learning algorithms often have to operate in the presence of concept drifts. A recent study revealed that different diversity levels in an ensemble of learning machines a...
Leandro L. Minku, Xin Yao