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Machine learning

A Comparison of Supervised Classification Methods for the Prediction of Substrate Type Using Multibeam Acoustic and Legacy Grain-Size Data

David Stephens, Markus Diesing

Incremental Learning with SVM for Multimodal Classification of Prostatic Adenocarcinoma

José Fernando García Molina, Lei Zheng, [ ... ], Matthias Rädle

Discriminative Learning of Receptive Fields from Responses to Non-Gaussian Stimulus Ensembles

Arne F. Meyer, Jan-Philipp Diepenbrock, [ ... ], Jörn Anemüller

Using Data-Driven Rules to Predict Mortality in Severe Community Acquired Pneumonia

Chuang Wu, Roni Rosenfeld, Gilles Clermont

Exploiting SNP Correlations within Random Forest for Genome-Wide Association Studies

Vincent Botta, Gilles Louppe, Pierre Geurts, Louis Wehenkel

Prediction of Multi-Type Membrane Proteins in Human by an Integrated Approach

Guohua Huang, Yuchao Zhang, [ ... ], Yu-Dong Cai

Rare Variants Detection with Kernel Machine Learning Based on Likelihood Ratio Test

Ping Zeng, Yang Zhao, [ ... ], Feng Chen

PSSP-RFE: Accurate Prediction of Protein Structural Class by Recursive Feature Extraction from PSI-BLAST Profile, Physical-Chemical Property and Functional Annotations

Liqi Li, Xiang Cui, [ ... ], Xiaoqi Zheng

Deep Belief Networks Learn Context Dependent Behavior

Florian Raudies, Eric A. Zilli, Michael E. Hasselmo

How Good Is Crude MDL for Solving the Bias-Variance Dilemma? An Empirical Investigation Based on Bayesian Networks

Nicandro Cruz-Ramírez, Héctor Gabriel Acosta-Mesa, [ ... ], María Yaneli Ameca-Alducin

Basic Timing Abilities Stay Intact in Patients with Musician's Dystonia

M. C. van der Steen, Floris T. van Vugt, Peter E. Keller, Eckart Altenmüller

NIMEFI: Gene Regulatory Network Inference using Multiple Ensemble Feature Importance Algorithms

Joeri Ruyssinck, Vân Anh Huynh-Thu, [ ... ], Yvan Saeys

Semi-Automatic Classification of Birdsong Elements Using a Linear Support Vector Machine

Ryosuke O. Tachibana, Naoya Oosugi, Kazuo Okanoya

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