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» Separating Complexity Classes Using Structural Properties
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ML
2010
ACM
13 years 8 months ago
Semi-supervised local Fisher discriminant analysis for dimensionality reduction
When only a small number of labeled samples are available, supervised dimensionality reduction methods tend to perform poorly due to overfitting. In such cases, unlabeled samples ...
Masashi Sugiyama, Tsuyoshi Idé, Shinichi Na...
ACL
2010
13 years 8 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
VLDB
1999
ACM
89views Database» more  VLDB 1999»
14 years 2 months ago
Physical Data Independence, Constraints, and Optimization with Universal Plans
We present an optimization method and algorithm designed for three objectives: physical data independence, semantic optimization, and generalized tableau minimization. The method ...
Alin Deutsch, Lucian Popa, Val Tannen
CIKM
1998
Springer
14 years 2 months ago
Efficient Enumeration of Frequent Sequences
In this paper we present SPADE, a new algorithm for fast discovery of Sequential Patterns. The existing solutions to this problem make repeated database scans, and use complex has...
Mohammed Javeed Zaki
BMCBI
2007
144views more  BMCBI 2007»
13 years 10 months ago
Application of amino acid occurrence for discriminating different folding types of globular proteins
Background: Predicting the three-dimensional structure of a protein from its amino acid sequence is a long-standing goal in computational/molecular biology. The discrimination of ...
Y.-h. Taguchi, M. Michael Gromiha