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KDD
2010
ACM
274views Data Mining» more  KDD 2010»
13 years 11 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
ESEM
2007
ACM
13 years 11 months ago
A Critical Analysis of Empirical Research in Software Testing
In the foreseeable future, software testing will remain one of the best tools we have at our disposal to ensure software dependability. Empirical studies are crucial to software t...
Lionel C. Briand
FOCS
2004
IEEE
13 years 11 months ago
Tolls for Heterogeneous Selfish Users in Multicommodity Networks and Generalized Congestion Games
We prove the existence of tolls to induce multicommodity, heterogeneous network users that independently choose routes minimizing their own linear function of tolls versus latency...
Lisa Fleischer, Kamal Jain, Mohammad Mahdian
ECOOP
2006
Springer
13 years 11 months ago
Demeter Interfaces: Adaptive Programming Without Surprises
Adaptive Programming (AP) allows for the separate definition of data structures and traversals with attached computations, performed during the traversal, that operate on these dat...
Therapon Skotiniotis, Jeffrey Palm, Karl J. Lieber...
NLP
2000
13 years 11 months ago
Monte-Carlo Sampling for NP-Hard Maximization Problems in the Framework of Weighted Parsing
Abstract. The purpose of this paper is (1) to provide a theoretical justification for the use of Monte-Carlo sampling for approximate resolution of NP-hard maximization problems in...
Jean-Cédric Chappelier, Martin Rajman