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DMIN
2010
262views Data Mining» more  DMIN 2010»
13 years 7 months ago
SMO-Style Algorithms for Learning Using Privileged Information
Recently Vapnik et al. [11, 12, 13] introduced a new learning model, called Learning Using Privileged Information (LUPI). In this model, along with standard training data, the tea...
Dmitry Pechyony, Rauf Izmailov, Akshay Vashist, Vl...
IPM
2006
171views more  IPM 2006»
13 years 9 months ago
Automatic extraction of bilingual word pairs using inductive chain learning in various languages
In this paper, we propose a new learning method for extracting bilingual word pairs from parallel corpora in various languages. In cross-language information retrieval, the system...
Hiroshi Echizen-ya, Kenji Araki, Yoshio Momouchi
ECAI
2006
Springer
14 years 1 months ago
Automatic Generation of Implied Constraints
Abstract. A well-known difficulty with solving Constraint Satisfaction Problems (CSPs) is that, while one formulation of a CSP may enable a solver to solve it quickly, a different ...
John Charnley, Simon Colton, Ian Miguel
CIVR
2006
Springer
186views Image Analysis» more  CIVR 2006»
14 years 1 months ago
Leveraging Active Learning for Relevance Feedback Using an Information Theoretic Diversity Measure
Abstract. Interactively learning from a small sample of unlabeled examples is an enormously challenging task. Relevance feedback and more recently active learning are two standard ...
Charlie K. Dagli, ShyamSundar Rajaram, Thomas S. H...
JSA
1998
74views more  JSA 1998»
13 years 9 months ago
Windowed active sampling for reliable neural learning
The composition of the example set has a major impact on the quality of neural learning. The popular approach is focused on extensive preprocessing to bridge the representation ga...
Emilia I. Barakova, Lambert Spaanenburg