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» Framework for Studying Substitution
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222
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ICML
2005
IEEE
16 years 8 months ago
Learning Gaussian processes from multiple tasks
We consider the problem of multi-task learning, that is, learning multiple related functions. Our approach is based on a hierarchical Bayesian framework, that exploits the equival...
Kai Yu, Volker Tresp, Anton Schwaighofer
175
Voted
ALT
2008
Springer
16 years 4 months ago
Clustering with Interactive Feedback
In this paper, we initiate a theoretical study of the problem of clustering data under interactive feedback. We introduce a query-based model in which users can provide feedback to...
Maria-Florina Balcan, Avrim Blum
164
Voted
ICDE
2009
IEEE
90views Database» more  ICDE 2009»
16 years 2 months ago
Uncertain Location Based Range Aggregates in a Multi-dimensional Space
— Uncertain data are inherent in many applications such as environmental surveillance and quantitative economics research. Recently, considerable research efforts have been put i...
Ying Zhang, Xuemin Lin, Yufei Tao, Wenjie Zhang
184
Voted
ICCPOL
2009
Springer
16 years 2 months ago
Probabilistic Methods for a Japanese Syllable Cipher
This paper attacks a Japanese syllable-substitution cipher. We use a probabilistic, noisy-channel framework, exploiting various Japanese language models to drive the decipherment. ...
Sujith Ravi, Kevin Knight
212
Voted
ICFEM
2009
Springer
16 years 2 months ago
Symbolic Query Exploration
Abstract. We study the problem of generating a database and parameters for a given parameterized SQL query satisfying a given test condition. We introduce a formal background theor...
Margus Veanes, Pavel Grigorenko, Peli de Halleux, ...