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» Learning from Highly Structured Data by Decomposition
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GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
15 years 2 months ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...
73
Voted
BIOINFORMATICS
2006
105views more  BIOINFORMATICS 2006»
14 years 9 months ago
Support vector machine learning from heterogeneous data: an empirical analysis using protein sequence and structure
Darrin P. Lewis, Tony Jebara, William Stafford Nob...
65
Voted
IANDC
2010
66views more  IANDC 2010»
14 years 8 months ago
Mind change optimal learning of Bayes net structure from dependency and independency data
Oliver Schulte, Wei Luo, Russell Greiner
AIED
2009
Springer
15 years 4 months ago
Using Learning Decomposition to Analyze Instructional Effectiveness in the ASSISTment System
A basic question of instruction is how effective it is in promoting student learning. This paper presents a study determining the relative efficacy of different instructional conte...
Mingyu Feng, Neil T. Heffernan, Joseph E. Beck
ICML
2004
IEEE
15 years 10 months ago
Support vector machine learning for interdependent and structured output spaces
Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input...
Ioannis Tsochantaridis, Thomas Hofmann, Thorsten J...