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» Combined regression and ranking
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SIGSOFT
2004
ACM
14 years 3 months ago
Correlation exploitation in error ranking
Static program checking tools can find many serious bugs in software, but due to analysis limitations they also frequently emit false error reports. Such false positives can easi...
Ted Kremenek, Ken Ashcraft, Junfeng Yang, Dawson R...
DEXAW
2010
IEEE
196views Database» more  DEXAW 2010»
13 years 10 months ago
Direct Optimization of Evaluation Measures in Learning to Rank Using Particle Swarm
— One of the central issues in Learning to Rank (L2R) for Information Retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures ...
Ósscar Alejo, Juan M. Fernández-Luna...
GECCO
2009
Springer
151views Optimization» more  GECCO 2009»
14 years 4 months ago
Swarming to rank for information retrieval
This paper presents an approach to automatically optimize the retrieval quality of ranking functions. Taking a Swarm Intelligence perspective, we present a novel method, SwarmRank...
Ernesto Diaz-Aviles, Wolfgang Nejdl, Lars Schmidt-...
ICPR
2010
IEEE
14 years 1 months ago
Localized Multiple Kernel Regression
Multiple kernel learning (MKL) uses a weighted combination of kernels where the weight of each kernel is optimized during training. However, MKL assigns the same weight to a kerne...
Mehmet Gönen, Ethem Alpaydin
CRV
2011
IEEE
340views Robotics» more  CRV 2011»
12 years 9 months ago
Combining Multi-robot Exploration and Rendezvous
—We consider the problem of exploring an unknown environment with a pair of mobile robots. The goal is to make the robots meet (or rendezvous) in minimum time such that there is ...
Malika Meghjani, Gregory Dudek