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» Finding Structure in Reinforcement Learning
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98
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FLAIRS
2007
15 years 5 months ago
Discriminating between Second Language Learning Text-Types
Text classification remains one of the major fields of research in natural language processing. This paper evaluates the use of the computational tool Coh-Metrix as a means to dis...
Scott A. Crossley, Philip M. McCarthy, Danielle S....
117
Voted
ACL
2010
15 years 1 months ago
Hierarchical Sequential Learning for Extracting Opinions and Their Attributes
Automatic opinion recognition involves a number of related tasks, such as identifying the boundaries of opinion expression, determining their polarity, and determining their inten...
Yejin Choi, Claire Cardie
123
Voted
ACCV
1998
Springer
15 years 7 months ago
Learning Multiscale Image Models of 2D Object Classes
This paper isconcerned with learning the canonical gray scalestructure of the images of a classof objects. Structure is defined in terms of the geometry and layout of salientimage...
Benoit Perrin, Narendra Ahuja, Narayan Srinivasa
ECCV
2008
Springer
16 years 5 months ago
Unsupervised Learning of Skeletons from Motion
Abstract. Humans demonstrate a remarkable ability to parse complicated motion sequences into their constituent structures and motions. We investigate this problem, attempting to le...
David A. Ross, Daniel Tarlow, Richard S. Zemel
KDD
2005
ACM
145views Data Mining» more  KDD 2005»
16 years 3 months ago
Using and Learning Semantics in Frequent Subgraph Mining
The search for frequent subgraphs is becoming increasingly important in many application areas including Web mining and bioinformatics. Any use of graph structures in mining, howev...
Bettina Berendt