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ISBI
2006
IEEE
15 years 12 months ago
Improve brain registration using machine learning methods
A machine learning method is introduced here to improve the accuracy of brain registration. Generally, different brain regions might need different types or sets of features for r...
Guorong Wu, Feihu Qi, Dinggang Shen
ICML
2010
IEEE
15 years 7 months ago
Learning Deep Boltzmann Machines using Adaptive MCMC
When modeling high-dimensional richly structured data, it is often the case that the distribution defined by the Deep Boltzmann Machine (DBM) has a rough energy landscape with man...
Ruslan Salakhutdinov
ICCS
2007
Springer
16 years 3 days ago
Active Learning with Support Vector Machines for Tornado Prediction
In this paper, active learning with support vector machines (SVMs) is applied to the problem of tornado prediction. This method is used to predict which storm-scale circulations yi...
Theodore B. Trafalis, Indra Adrianto, Michael B. R...
ISMIR
2004
Springer
132views Music» more  ISMIR 2004»
15 years 11 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
ML
2006
ACM
122views Machine Learning» more  ML 2006»
15 years 5 months ago
PRL: A probabilistic relational language
In this paper, we describe the syntax and semantics for a probabilistic relational language (PRL). PRL is a recasting of recent work in Probabilistic Relational Models (PRMs) into ...
Lise Getoor, John Grant