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» Learning to Solve QBF
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109
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IFIP
2000
Springer
15 years 7 months ago
PETSc and Overture: Lessons Learned Developing an Interface between Components
We consider two software packages that interact with each other as components: Overture and PETSc. An interface between these two packages could be of tremendous value to applicati...
Kristopher R. Buschelman, William Gropp, Lois C. M...
154
Voted
ECCV
2010
Springer
15 years 6 months ago
Optimum Subspace Learning and Error Correction for Tensors
Confronted with the high-dimensional tensor-like visual data, we derive a method for the decomposition of an observed tensor into a low-dimensional structure plus unbounded but spa...
135
Voted
ICPR
2010
IEEE
15 years 5 months ago
SemiCCA: Efficient Semi-Supervised Learning of Canonical Correlations
Canonical correlation analysis (CCA) is a powerful tool for analyzing multi-dimensional paired data. However, CCA tends to perform poorly when the number of paired samples is limit...
Akisato Kimura, Hirokazu Kameoka, Masashi Sugiyama...
114
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AAAI
2006
15 years 5 months ago
Learning Basis Functions in Hybrid Domains
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
Branislav Kveton, Milos Hauskrecht
IJCAI
2003
15 years 5 months ago
Learning to Classify Texts Using Positive and Unlabeled Data
In traditional text classification, a classifier is built using labeled training documents of every class. This paper studies a different problem. Given a set P of documents of a ...
Xiaoli Li, Bing Liu