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» Learning Algorithms for Domain Adaptation
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SDM
2007
SIAM
169views Data Mining» more  SDM 2007»
13 years 9 months ago
Rank Aggregation for Similar Items
The problem of combining the ranked preferences of many experts is an old and surprisingly deep problem that has gained renewed importance in many machine learning, data mining, a...
D. Sculley
FLAIRS
2006
13 years 9 months ago
Inexact Graph Matching: A Case of Study
Inexact graph matching has become an important research area because it is used to find similarities among objects in several real domains such as chemical and biological compound...
Ivan Olmos, Jesus A. Gonzalez, Mauricio Osorio
NIPS
2001
13 years 9 months ago
Constructing Distributed Representations Using Additive Clustering
If the promise of computational modeling is to be fully realized in higherlevel cognitive domains such as language processing, principled methods must be developed to construct th...
Wheeler Ruml
ICGA
2007
157views Optimization» more  ICGA 2007»
13 years 7 months ago
Computing "Elo Ratings" of Move Patterns in the Game of Go
Abstract. Move patterns are an essential method to incorporate domain knowledge into Go-playing programs. This paper presents a new Bayesian technique for supervised learning of su...
Rémi Coulom
CORR
2002
Springer
97views Education» more  CORR 2002»
13 years 7 months ago
Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews
This paper presents a simple unsupervised learning algorithm for classifying reviews as recommended (thumbs up) or not recommended (thumbs down). The classification of a review is...
Peter D. Turney