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» Kernelization of packing problems
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BMCBI
2008
228views more  BMCBI 2008»
14 years 12 months ago
Adaptive diffusion kernel learning from biological networks for protein function prediction
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
Liang Sun, Shuiwang Ji, Jieping Ye
NECO
2010
101views more  NECO 2010»
14 years 6 months ago
Large-Margin Classification in Infinite Neural Networks
We introduce a new family of positive-definite kernels for large margin classification in support vector machines (SVMs). These kernels mimic the computation in large neural netwo...
Youngmin Cho, Lawrence K. Saul
CORR
2012
Springer
208views Education» more  CORR 2012»
13 years 7 months ago
Ensembles of Kernel Predictors
This paper examines the problem of learning with a finite and possibly large set of p base kernels. It presents a theoretical and empirical analysis of an approach addressing thi...
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
CORR
2006
Springer
119views Education» more  CORR 2006»
14 years 12 months ago
Restricted Strip Covering and the Sensor Cover Problem
Suppose we are given a set of objects that cover a region and a duration associated with each object. Viewing the objects as jobs, can we schedule their beginning times to maximiz...
Adam L. Buchsbaum, Alon Efrat, Shaili Jain, Suresh...
ATMOS
2007
119views Optimization» more  ATMOS 2007»
15 years 1 months ago
Models for Railway Track Allocation
The optimal track allocation problem (OPTRA) is to find, in a given railway network, a conflict free set of train routes of maximum value. We study two types of integer programmi...
Ralf Borndörfer, Thomas Schlechte