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ISMIR
2004
Springer
132views Music» more  ISMIR 2004»
14 years 1 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
NAACL
2010
13 years 5 months ago
Not All Seeds Are Equal: Measuring the Quality of Text Mining Seeds
Open-class semantic lexicon induction is of great interest for current knowledge harvesting algorithms. We propose a general framework that uses patterns in bootstrapping fashion ...
Zornitsa Kozareva, Eduard H. Hovy
ICC
2009
IEEE
239views Communications» more  ICC 2009»
14 years 2 months ago
An Analytical Approach for Throughput Evaluation of Wireless Network Coding
In this paper, we propose a new analytical model for throughput evaluation of wireless network coding. This new approach is based on a probabilistic viewpoint on network coding, i....
Mohammad H. Amerimehr, Farid Ashtiani, Mohammad Ba...
METMBS
2003
255views Mathematics» more  METMBS 2003»
13 years 9 months ago
Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery
Causal Probabilistic Networks (CPNs), (a.k.a. Bayesian Networks, or Belief Networks) are well-established representations in biomedical applications such as decision support system...
Constantin F. Aliferis, Ioannis Tsamardinos, Alexa...
IJCAI
1997
13 years 9 months ago
Machine Learning Techniques to Make Computers Easier to Use
Identifying user-dependent information that can be automatically collected helps build a user model by which 1) to predict what the user wants to do next and 2) to do relevant pre...
Hiroshi Motoda, Kenichi Yoshida