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» Evaluating learning algorithms and classifiers
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164
Voted
MIR
2010
ACM
167views Multimedia» more  MIR 2010»
15 years 10 months ago
Improving automatic music classification performance by extracting features from different types of data
This paper discusses two sets of automatic musical genre classification experiments. Promising research directions are then proposed based on the results of these experiments. The...
Cory McKay, Ichiro Fujinaga
132
Voted
CIDM
2009
IEEE
15 years 10 months ago
Ensemble member selection using multi-objective optimization
— Both theory and a wealth of empirical studies have established that ensembles are more accurate than single predictive models. Unfortunately, the problem of how to maximize ens...
Tuve Löfström, Ulf Johansson, Henrik Bos...
117
Voted
CAV
2007
Springer
121views Hardware» more  CAV 2007»
15 years 9 months ago
Algorithms for Interface Synthesis
Abstract. A temporal interface for a software component is a finite automaton that specifies the legal sequences of calls to functions that are provided by the component. We comp...
Dirk Beyer, Thomas A. Henzinger, Vasu Singh
145
Voted
KDD
2005
ACM
161views Data Mining» more  KDD 2005»
16 years 4 months ago
Combining email models for false positive reduction
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Shlomo Hershkop, Salvatore J. Stolfo
151
Voted
CVPR
2007
IEEE
16 years 5 months ago
Semantic Hierarchies for Visual Object Recognition
In this paper we propose to use lexical semantic networks to extend the state-of-the-art object recognition techniques. We use the semantics of image labels to integrate prior kno...
Marcin Marszalek, Cordelia Schmid