1305 search results - page 30 / 261 » An Optimization Algorithm Based on Active and Instance-Based... |
123
Voted
CEC
2007
IEEE
15 years 8 months ago
2007
IEEE
Abstract— For the past decade or so, evolutionary multiobjective optimization (EMO) methodologies have earned wide popularity for solving complex practical optimization problems,...
128
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CGO
2009
IEEE
15 years 9 months ago
2009
IEEE
Recent work has shown that machine learning can automate and in some cases outperform hand crafted compiler optimizations. Central to such an approach is that machine learning tec...
142
Voted
WWW
2006
ACM
16 years 3 months ago
2006
ACM
Large-scale text categorization is an important research topic for Web data mining. One of the challenges in large-scale text categorization is how to reduce the amount of human e...
169
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AAAI
2007
15 years 4 months ago
2007
Multi-label learning deals with ambiguous examples each may belong to several concept classes simultaneously. In this learning framework, the inherent ambiguity of each example is...
128
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CC
2006
Springer
15 years 6 months ago
2006
Springer
We introduce a new class of compiler heuristics: hybrid optimizations. Hybrid optimizations choose dynamically at compile time which optimization algorithm to apply from a set of d...