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NAACL
2004
13 years 9 months ago
Detecting Structural Metadata with Decision Trees and Transformation-Based Learning
The regular occurrence of disfluencies is a distinguishing characteristic of spontaneous speech. Detecting and removing such disfluencies can substantially improve the usefulness ...
Joungbum Kim, Sarah E. Schwarm, Mari Ostendorf
JMLR
2000
134views more  JMLR 2000»
13 years 7 months ago
Learning with Mixtures of Trees
This paper describes the mixtures-of-trees model, a probabilistic model for discrete multidimensional domains. Mixtures-of-trees generalize the probabilistic trees of Chow and Liu...
Marina Meila, Michael I. Jordan
ACL
2010
13 years 5 months ago
Sentiment Learning on Product Reviews via Sentiment Ontology Tree
Existing works on sentiment analysis on product reviews suffer from the following limitations: (1) The knowledge of hierarchical relationships of products attributes is not fully ...
Wei Wei, Jon Atle Gulla
BMCBI
2007
95views more  BMCBI 2007»
13 years 7 months ago
Phylogenetic tree information aids supervised learning for predicting protein-protein interaction based on distance matrices
Background: Protein-protein interactions are critical for cellular functions. Recently developed computational approaches for predicting protein-protein interactions utilize co-ev...
Roger A. Craig, Li Liao
ICCAD
1999
IEEE
95views Hardware» more  ICCAD 1999»
13 years 12 months ago
Dynamic power management using adaptive learning tree
Dynamic Power Management (DPM) is a technique to reduce power consumption of electronic systems by selectively shutting down idle components. The quality of the shutdown control a...
Eui-Young Chung, Luca Benini, Giovanni De Micheli