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» An Instance Selection Approach to Multiple Instance Learning
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LPNMR
2007
Springer
15 years 4 months ago
A Preference-Based Framework for Updating Logic Programs
Abstract. We present a framework for updating logic programs under the answer-set semantics that builds on existing work on preferences in logic programming. The approach is simple...
James P. Delgrande, Torsten Schaub, Hans Tompits
CORR
2011
Springer
143views Education» more  CORR 2011»
14 years 4 months ago
CoPhy: A Scalable, Portable, and Interactive Index Advisor for Large Workloads
Index tuning, i.e., selecting the indexes appropriate for a workload, is a crucial problem in database system tuning. In this paper, we solve index tuning for large problem instan...
Debabrata Dash, Neoklis Polyzotis, Anastasia Ailam...
HICSS
2003
IEEE
116views Biometrics» more  HICSS 2003»
15 years 3 months ago
Modeling Instrumental Conditioning - The Behavioral Regulation Approach
Basically, instrumental conditioning is learning through consequences: Behavior that produces positive results (high “instrumental response”) is reinforced, and that which pro...
Jose J. Gonzalez, Agata Sawicka
ICML
2008
IEEE
15 years 10 months ago
Localized multiple kernel learning
Recently, instead of selecting a single kernel, multiple kernel learning (MKL) has been proposed which uses a convex combination of kernels, where the weight of each kernel is opt...
Ethem Alpaydin, Mehmet Gönen
IROS
2007
IEEE
150views Robotics» more  IROS 2007»
15 years 4 months ago
Long-Term learning using multiple models for outdoor autonomous robot navigation
Abstract—Autonomous robot navigation in unstructured outdoor environments is a challenging area of active research. The navigation task requires identifying safe, traversable pat...
Michael J. Procopio, Jane Mulligan, Gregory Z. Gru...