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» Evaluating learning algorithms and classifiers
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ICML
2001
IEEE
16 years 5 months ago
Bayesian approaches to failure prediction for disk drives
Hard disk drive failures are rare but are often costly. The ability to predict failures is important to consumers, drive manufacturers, and computer system manufacturers alike. In...
Greg Hamerly, Charles Elkan
IMECS
2007
15 years 5 months ago
Support Vector Machine for Cardiac Beat Detection in Single Lead Electrocardiogram
— Among all ECG components, QRS complex is the most significant feature. Entropy based method for the detection of QRS complexes (cardiac beat) in the single lead Electrocardiogr...
Sarabjeet Singh Mehta, Nitin Shivappa Lingayat
IJDAR
2008
92views more  IJDAR 2008»
15 years 4 months ago
Optical recognition of psaltic Byzantine chant notation
Abstract This paper describes a document recognition system for the modern neume based notation of Byzantine music. We propose algorithms for page segmentation, lyrics removal, syn...
Christoph Dalitz, Georgios K. Michalakis, Christin...
ISMIR
2004
Springer
132views Music» more  ISMIR 2004»
15 years 9 months ago
Classification of musical genre: a machine learning approach
In this paper, we investigate the impact of machine learning algorithms in the development of automatic music classification models aiming to capture genres distinctions. The stu...
Roberto Basili, Alfredo Serafini, Armando Stellato
ICML
2010
IEEE
15 years 2 months ago
Learning optimally diverse rankings over large document collections
Most learning to rank research has assumed that the utility of different documents is independent, which results in learned ranking functions that return redundant results. The fe...
Aleksandrs Slivkins, Filip Radlinski, Sreenivas Go...