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» An Improved Model Selection Heuristic for AUC
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CVPR
2009
IEEE
15 years 2 months ago
Discriminative Structure Learning of Hierarchical Representations for Object Detection
A variety of flexible models have been proposed to detect objects in challenging real world scenes. Motivated by some of the most successful techniques, we propose a hierarchica...
Paul Schnitzspan (TU Darmstadt), Mario Fritz (Univ...
ECAI
2004
Springer
14 years 1 months ago
High-Level Observations in Java Debugging
Recent years have seen considerable developments in modeling techniques for automatic fault location in programs. However, much of this research considered the models from a standa...
Wolfgang Mayer, Markus Stumptner
IFIP12
2004
13 years 9 months ago
Model-Based Debugging with High-Level Observations
Recent years have seen considerable developments in modeling techniques for automatic fault location in programs. However, much of this research considered the models from a standa...
Wolfgang Mayer, Markus Stumptner
AIPS
2008
13 years 10 months ago
Stochastic Enforced Hill-Climbing
Enforced hill-climbing is an effective deterministic hillclimbing technique that deals with local optima using breadth-first search (a process called "basin flooding"). ...
Jia-Hong Wu, Rajesh Kalyanam, Robert Givan
CGO
2005
IEEE
14 years 1 months ago
Model-Based Framework: An Approach for Profit-Driven Optimization
Although optimizations have been applied for a number of years to improve the performance of software, problems that have been long-standing remain, which include knowing what opt...
Min Zhao, Bruce R. Childers, Mary Lou Soffa