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» An Experimental Study on Feature Subset Selection Methods
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MICCAI
2005
Springer
16 years 5 months ago
Exploiting Temporal Information in Functional Magnetic Resonance Imaging Brain Data
Functional Magnetic Resonance Imaging(fMRI) has enabled scientists to look into the active human brain, leading to a flood of new data, thus encouraging the development of new data...
Lei Zhang 0002, Dimitris Samaras, Dardo Tomasi, Ne...
FMICS
2008
Springer
15 years 6 months ago
Efficient Symbolic Model Checking for Process Algebras
Different approaches have been developed to mitigate the state space explosion of model checking techniques. Among them, symbolic verification techniques use efficient representati...
José Vander Meulen, Charles Pecheur
ACL
2009
15 years 2 months ago
Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
Yoshimasa Tsuruoka, Jun-ichi Tsujii, Sophia Anania...
MCS
2010
Springer
15 years 6 months ago
Choosing Parameters for Random Subspace Ensembles for fMRI Classification
Abstract. Functional magnetic resonance imaging (fMRI) is a noninvasive and powerful method for analysis of the operational mechanisms of the brain. fMRI classification poses a sev...
Ludmila I. Kuncheva, Catrin O. Plumpton
153
Voted
SIGIR
2010
ACM
15 years 8 months ago
Short text classification in twitter to improve information filtering
In microblogging services such as Twitter, the users may become overwhelmed by the raw data. One solution to this problem is the classification of short text messages. As short te...
Bharath Sriram, Dave Fuhry, Engin Demir, Hakan Fer...