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» Optimizing Data Transformations for Classification Tasks
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ISMIR
2005
Springer
179views Music» more  ISMIR 2005»
14 years 25 days ago
Evaluation of Feature Extractors and Psycho-Acoustic Transformations for Music Genre Classification
We present a study on the importance of psycho-acoustic transformations for effective audio feature calculation. From the results, both crucial and problematic parts of the algori...
Thomas Lidy, Andreas Rauber
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
13 years 11 months ago
String transformation-based Bayesian classification or proteins
We describe a Markov chain Bayesian classification tool, SCS, that can perform data-driven classification of proteins and protein segments. Training data for interesting classific...
Timothy Meekhof, Gary W. Daughdrill, Robert B. Hec...
GECCO
2003
Springer
171views Optimization» more  GECCO 2003»
14 years 16 days ago
Genetic Algorithm Optimized Feature Transformation - A Comparison with Different Classifiers
When using a Genetic Algorithm (GA) to optimize the feature space of pattern classification problems, the performance improvement is not only determined by the data set used, but a...
Zhijian Huang, Min Pei, Erik D. Goodman, Yong Huan...
ICDCS
2012
IEEE
11 years 9 months ago
eTransform: Transforming Enterprise Data Centers by Automated Consolidation
Abstract—Modern day enterprises have a large IT infrastructure comprising thousands of applications running on servers housed in tens of data centers geographically spread out. T...
Rahul Singh, Prashant J. Shenoy, K. K. Ramakrishna...
ICML
2006
IEEE
14 years 8 months ago
Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
Many real-world sequence learning tasks require the prediction of sequences of labels from noisy, unsegmented input data. In speech recognition, for example, an acoustic signal is...
Alex Graves, Faustino J. Gomez, Jürgen Schmid...