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» A Machine Learning Approach for Statistical Software Testing
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AAAI
1994
15 years 7 months ago
Recovering Software Specifications with Inductive Logic Programming
We consider using machine learning techniques to help understand a large software system. In particular, we describe how learning techniques can be used to reconstruct abstract Da...
William W. Cohen
CODES
2007
IEEE
16 years 19 days ago
Event-based re-training of statistical contention models for heterogeneous multiprocessors
Embedded single-chip heterogeneous multiprocessor (SCHM) systems experience frequent system events such as task preemption, power-saving voltage/frequency scaling, or arrival of n...
Alex Bobrek, JoAnn M. Paul, Donald E. Thomas
SADFE
2009
IEEE
16 years 1 months ago
File Fragment Classification-The Case for Specialized Approaches
Increasingly advances in file carving, memory analysis and network forensics requires the ability to identify the underlying type of a file given only a file fragment. Work to dat...
Vassil Roussev, Simson L. Garfinkel
ICMCS
2005
IEEE
112views Multimedia» more  ICMCS 2005»
15 years 12 months ago
Segment-based approach to the recognition of emotions in speech
A new framework for the context and speaker independent recognition of emotions from voice, based on a richer and more natural representation of the speech signal, is proposed. Th...
Mohammad T. Shami, Mohamed S. Kamel
ACL
2010
15 years 4 months ago
Training Phrase Translation Models with Leaving-One-Out
Several attempts have been made to learn phrase translation probabilities for phrasebased statistical machine translation that go beyond pure counting of phrases in word-aligned t...
Joern Wuebker, Arne Mauser, Hermann Ney