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ISMIR
2004
Springer
204views Music» more  ISMIR 2004»
14 years 2 months ago
Automatic Genre Classification Using Large High-Level Musical Feature Sets
This paper presents a system that extracts 109 musical features from symbolic recordings (MIDI, in this case) and uses them to classify the recordings by genre. The features used ...
Cory McKay, Ichiro Fujinaga
GECCO
2009
Springer
166views Optimization» more  GECCO 2009»
14 years 3 months ago
Genetic programming in the wild: evolving unrestricted bytecode
We describe a methodology for evolving Java bytecode, enabling the evolution of extant, unrestricted Java programs, or programs in other languages that compile to Java bytecode. B...
Michael Orlov, Moshe Sipper
CORR
2006
Springer
130views Education» more  CORR 2006»
13 years 9 months ago
Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
Christian Gagné, Marc Schoenauer, Mich&egra...
CGO
2009
IEEE
14 years 4 months ago
Automatic Feature Generation for Machine Learning Based Optimizing Compilation
Recent work has shown that machine learning can automate and in some cases outperform hand crafted compiler optimizations. Central to such an approach is that machine learning tec...
Hugh Leather, Edwin V. Bonilla, Michael O'Boyle
ICANNGA
2007
Springer
153views Algorithms» more  ICANNGA 2007»
14 years 3 months ago
Automatic Design of ANNs by Means of GP for Data Mining Tasks: Iris Flower Classification Problem
This paper describes a new technique for automatically developing Artificial Neural Networks (ANNs) by means of an Evolutionary Computation (EC) tool, called Genetic Programming (G...
Daniel Rivero, Juan R. Rabuñal, Julian Dora...