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» On Learning Boolean Functions
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JMLR
2012
13 years 9 months ago
Randomized Optimum Models for Structured Prediction
One approach to modeling structured discrete data is to describe the probability of states via an energy function and Gibbs distribution. A recurring difficulty in these models is...
Daniel Tarlow, Ryan Prescott Adams, Richard S. Zem...
195
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KES
2008
Springer
15 years 6 months ago
Classification and Retrieval through Semantic Kernels
Abstract. This work proposes a family of language-independent semantic kernel functions defined for individuals in an ontology. This allows exploiting wellfounded kernel methods fo...
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
BMCBI
2010
119views more  BMCBI 2010»
15 years 6 months ago
Multi-task learning for cross-platform siRNA efficacy prediction: an in-silico study
Background: Gene silencing using exogenous small interfering RNAs (siRNAs) is now a widespread molecular tool for gene functional study and new-drug target identification. The key...
Qi Liu, Qian Xu, Vincent Wenchen Zheng, Hong Xue, ...
ALT
2004
Springer
16 years 3 months ago
On Kernels, Margins, and Low-Dimensional Mappings
Kernel functions are typically viewed as providing an implicit mapping of points into a high-dimensional space, with the ability to gain much of the power of that space without inc...
Maria-Florina Balcan, Avrim Blum, Santosh Vempala
ICDE
2007
IEEE
145views Database» more  ICDE 2007»
16 years 8 months ago
Fast Identification of Relational Constraint Violations
Logical constraints, (e.g., 'phone numbers in toronto can have prefixes 416, 647, 905 only'), are ubiquitous in relational databases. Traditional integrity constraints, ...
Amit Chandel, Nick Koudas, Ken Q. Pu, Divesh Sriva...