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» The changing science of machine learning
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SPIESR
2003
165views Database» more  SPIESR 2003»
13 years 9 months ago
Analysis of musical expression in audio signals
In western art music, composers communicate their work to performers via a standard notation which specificies the musical pitches and relative timings of notes. This notation ma...
Simon Dixon
AICOM
2002
103views more  AICOM 2002»
13 years 7 months ago
The emergent computational potential of evolving artificial living systems
The computational potential of artificial living systems can be studied without knowing the algorithms that govern their behavior. Modeling single organisms by means of socalled c...
Jirí Wiedermann, Jan van Leeuwen
IPPS
2010
IEEE
13 years 5 months ago
Offline library adaptation using automatically generated heuristics
Automatic tuning has emerged as a solution to provide high-performance libraries for fast changing, increasingly complex computer architectures. We distinguish offline adaptation (...
Frédéric de Mesmay, Yevgen Voronenko...
ADMA
2010
Springer
271views Data Mining» more  ADMA 2010»
13 years 2 months ago
Exploiting Concept Clumping for Efficient Incremental E-Mail Categorization
We introduce a novel approach to incremental e-mail categorization based on identifying and exploiting "clumps" of messages that are classified similarly. Clumping reflec...
Alfred Krzywicki, Wayne Wobcke
TKDE
2011
186views more  TKDE 2011»
13 years 2 months ago
Discovering Activities to Recognize and Track in a Smart Environment
—The machine learning and pervasive sensing technologies found in smart homes offer unprecedented opportunities for providing health monitoring and assistance to individuals expe...
Parisa Rashidi, Diane J. Cook, Lawrence B. Holder,...