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» Evaluating Adaptive Problem Selection
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IJISEC
2006
106views more  IJISEC 2006»
13 years 7 months ago
Execution transactions for defending against software failures: use and evaluation
We examine the problem of containing buffer overflow attacks in a safe and efficient manner. Briefly, we automatically augment source code to dynamically catch stack and heap-based...
Stelios Sidiroglou, Angelos D. Keromytis
ICPR
2006
IEEE
14 years 8 months ago
Adaptive Weighting of Local Classifiers by Particle Filter
This paper presents adaptive weighting method for combining local classifiers by particle filter. In recent years, the effectiveness of combination of local classifiers (features)...
Kazuhiro Hotta
LION
2010
Springer
190views Optimization» more  LION 2010»
13 years 11 months ago
Algorithm Selection as a Bandit Problem with Unbounded Losses
Abstract. Algorithm selection is typically based on models of algorithm performance learned during a separate offline training sequence, which can be prohibitively expensive. In r...
Matteo Gagliolo, Jürgen Schmidhuber
INFOCOM
2000
IEEE
13 years 12 months ago
An Empirical Evaluation of Client-Side Server Selection Algorithms
—Efficient server selection algorithms reduce retrieval time for objects replicated on different servers and are an important component of Internet cache architectures. This pap...
Sandra G. Dykes, Kay A. Robbins, Clinton L. Jeffer...
SIGIR
1999
ACM
13 years 11 months ago
Summarizing Text Documents: Sentence Selection and Evaluation Metrics
Human-quality text summarization systems are di cult to design, and even more di cult to evaluate, in part because documents can di er along several dimensions, such as length, wri...
Jade Goldstein, Mark Kantrowitz, Vibhu O. Mittal, ...