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KDD
2010
ACM
274views Data Mining» more  KDD 2010»
15 years 1 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing
ESA
2009
Springer
129views Algorithms» more  ESA 2009»
15 years 4 months ago
Dynamic vs. Oblivious Routing in Network Design
Consider the robust network design problem of finding a minimum cost network with enough capacity to route all traffic demand matrices in a given polytope. We investigate the impa...
Navin Goyal, Neil Olver, F. Bruce Shepherd
72
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GECCO
2005
Springer
146views Optimization» more  GECCO 2005»
15 years 3 months ago
An empirical study of the robustness of two module clustering fitness functions
Two of the attractions of search-based software engineering (SBSE) derive from the nature of the fitness functions used to guide the search. These have proved to be highly robust...
Mark Harman, Stephen Swift, Kiarash Mahdavi
84
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ICML
2010
IEEE
14 years 10 months ago
Simple and Efficient Multiple Kernel Learning by Group Lasso
We consider the problem of how to improve the efficiency of Multiple Kernel Learning (MKL). In literature, MKL is often solved by an alternating approach: (1) the minimization of ...
Zenglin Xu, Rong Jin, Haiqin Yang, Irwin King, Mic...
CN
2007
154views more  CN 2007»
14 years 9 months ago
Disjoint multipath routing using colored trees
— Multipath routing (MPR) is an effective strategy to achieve robustness, load balancing, congestion reduction, and increased throughput in computer networks. Disjoint multipath ...
Srinivasan Ramasubramanian, Harish Krishnamoorthy,...