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Machine learning

The Exploration-Exploitation Dilemma: A Multidisciplinary Framework

Oded Berger-Tal, Jonathan Nathan, Ehud Meron, David Saltz

One-Hot Vector Hybrid Associative Classifier for Medical Data Classification

Abril Valeria Uriarte-Arcia, Itzamá López-Yáñez, Cornelio Yáñez-Márquez

A New Approach to Detect Congestive Heart Failure Using Short-Term Heart Rate Variability Measures

Guanzheng Liu, Lei Wang, [ ... ], Qing Jiang

Downregulation of 14-3-3σ Correlates with Multistage Carcinogenesis and Poor Prognosis of Esophageal Squamous Cell Carcinoma

Yi-Jun Qi, Ming Wang, [ ... ], Yuan-Fang Ma

An Improved Systematic Approach to Predicting Transcription Factor Target Genes Using Support Vector Machine

Song Cui, Eunseog Youn, Joohyun Lee, Stephan J. Maas

Detecting Falls as Novelties in Acceleration Patterns Acquired with Smartphones

Carlos Medrano, Raul Igual, Inmaculada Plaza, Manuel Castro

Automatic ROI Selection in Structural Brain MRI Using SOM 3D Projection

Andrés Ortiz, Juan M. Górriz, [ ... ], for the Alzheimer's Disease Neuroimaging Initiative

A Practical and Automated Approach to Large Area Forest Disturbance Mapping with Remote Sensing

Mutlu Ozdogan

SMART: Unique Splitting-While-Merging Framework for Gene Clustering

Rui Fa, David J. Roberts, Asoke K. Nandi

Composing Problem Solvers for Simulation Experimentation: A Case Study on Steady State Estimation

Stefan Leye, Roland Ewald, Adelinde M. Uhrmacher

Parallel Clustering Algorithm for Large-Scale Biological Data Sets

Minchao Wang, Wu Zhang, [ ... ], Jiang Xie

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

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