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» Sublinear Optimization for Machine Learning
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GECCO
2007
Springer
136views Optimization» more  GECCO 2007»
15 years 8 months ago
Do not match, inherit: fitness surrogates for genetics-based machine learning techniques
Xavier Llorà, Kumara Sastry, Tian-Li Yu, Da...
IJPP
2011
115views more  IJPP 2011»
14 years 5 months ago
Milepost GCC: Machine Learning Enabled Self-tuning Compiler
Tuning compiler optimizations for rapidly evolving hardware makes porting and extending an optimizing compiler for each new platform extremely challenging. Iterative optimization i...
Grigori Fursin, Yuriy Kashnikov, Abdul Wahid Memon...
103
Voted
COLT
2003
Springer
15 years 7 months ago
Learning with Rigorous Support Vector Machines
We examine the so-called rigorous support vector machine (RSVM) approach proposed by Vapnik (1998). The formulation of RSVM is derived by explicitly implementing the structural ris...
Jinbo Bi, Vladimir Vapnik
129
Voted
ICML
2008
IEEE
16 years 3 months ago
Optimizing estimated loss reduction for active sampling in rank learning
Learning to rank is becoming an increasingly popular research area in machine learning. The ranking problem aims to induce an ordering or preference relations among a set of insta...
Pinar Donmez, Jaime G. Carbonell
EMNLP
2008
15 years 3 months ago
Arabic Named Entity Recognition using Optimized Feature Sets
The Named Entity Recognition (NER) task has been garnering significant attention in NLP as it helps improve the performance of many natural language processing applications. In th...
Yassine Benajiba, Mona T. Diab, Paolo Rosso