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» Measuring the Complexity of Classification Problems
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IDEAL
2000
Springer
13 years 11 months ago
Quantization of Continuous Input Variables for Binary Classification
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
Michal Skubacz, Jaakko Hollmén
AIA
2007
13 years 9 months ago
Classification of biomedical high-resolution micro-CT images for direct volume rendering
This paper introduces a machine learning approach into the process of direct volume rendering of biomedical highresolution 3D images. More concretely, it proposes a learning pipel...
Maite López-Sánchez, Jesús Ce...
AH
2004
Springer
14 years 1 months ago
Evaluating Adaptive Problem Selection
: This paper presents an evaluation study that compares two different problem selection strategies for an Intelligent Tutoring System (ITS). The first strategy uses static problem ...
Antonija Mitrovic, Brent Martin
TITB
2010
167views Education» more  TITB 2010»
13 years 2 months ago
Structural action recognition in body sensor networks: distributed classification based on string matching
Mobile sensor-based systems are emerging as promising platforms for healthcare monitoring. An important goal of these systems is to extract physiological information about the subj...
Hassan Ghasemzadeh, Vitali Loseu, Roozbeh Jafari
EOR
2007
103views more  EOR 2007»
13 years 7 months ago
Bi-criteria scheduling problems: Number of tardy jobs and maximum weighted tardiness
Consider a single machine and a set of   jobs that are available for processing at time 0. Job ¡ has a processing time ¢¤£ , a due date ¥¦£ and a weight §¨£ . We consid...
Yumei Huo, Joseph Y.-T. Leung, Hairong Zhao