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» Kernelization of packing problems
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ICML
2006
IEEE
14 years 9 months ago
Learning low-rank kernel matrices
Kernel learning plays an important role in many machine learning tasks. However, algorithms for learning a kernel matrix often scale poorly, with running times that are cubic in t...
Brian Kulis, Inderjit S. Dhillon, Máty&aacu...
ICML
2007
IEEE
14 years 9 months ago
Learning nonparametric kernel matrices from pairwise constraints
Many kernel learning methods have to assume parametric forms for the target kernel functions, which significantly limits the capability of kernels in fitting diverse patterns. Som...
Steven C. H. Hoi, Rong Jin, Michael R. Lyu
PAKDD
2007
ACM
224views Data Mining» more  PAKDD 2007»
14 years 2 months ago
Graph Nodes Clustering Based on the Commute-Time Kernel
This work presents a kernel method for clustering the nodes of a weighted, undirected, graph. The algorithm is based on a two-step procedure. First, the sigmoid commute-time kernel...
Luh Yen, François Fouss, Christine Decaeste...
ALGORITHMICA
2010
155views more  ALGORITHMICA 2010»
13 years 9 months ago
Bin Packing with Rejection Revisited
We consider the following generalization of bin packing. Each item is associated with a size bounded by 1, as well as a rejection cost, that an algorithm must pay if it chooses not...
Leah Epstein
HICSS
2005
IEEE
134views Biometrics» more  HICSS 2005»
14 years 2 months ago
A Non-Exact Approach and Experiment Studies on the Combinatorial Auction Problem
In this paper we formulate a combinatorial auction brokering problem as a set packing problem and apply a simulated annealing heuristic with hybrid local moves to solve the proble...
Yunsong Guo, Andrew Lim, Brian Rodrigues, Yi Zhu