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JMLR
2002
90views more  JMLR 2002»
15 years 4 months ago
Machine Learning with Data Dependent Hypothesis Classes
We extend the VC theory of statistical learning to data dependent spaces of classifiers. This theory can be viewed as a decomposition of classifier design into two components; the...
Adam Cannon, J. Mark Ettinger, Don R. Hush, Clint ...
SAC
2004
ACM
15 years 10 months ago
Patterns for blended, Person-Centered learning: strategy, concepts, experiences, and evaluation
: Within the last few years, e-learning has become a focal point in several universities and organizations. While much research has been devoted to producing econtent, describing i...
Michael Derntl, Renate Motschnig-Pitrik
109
Voted
CAV
2010
Springer
243views Hardware» more  CAV 2010»
15 years 8 months ago
libalf: The Automata Learning Framework
d Abstract) Benedikt Bollig1 , Joost-Pieter Katoen2 , Carsten Kern2 , Martin Leucker3 , Daniel Neider2 , and David R. Piegdon2 1 LSV, ENS Cachan, CNRS, 2 RWTH Aachen University, 3 ...
Benedikt Bollig, Joost-Pieter Katoen, Carsten Kern...
AAAI
2008
15 years 7 months ago
Clause Learning Can Effectively P-Simulate General Propositional Resolution
Currently, the most effective complete SAT solvers are based on the DPLL algorithm augmented by clause learning. These solvers can handle many real-world problems from application...
Philipp Hertel, Fahiem Bacchus, Toniann Pitassi, A...
120
Voted
SDM
2008
SIAM
140views Data Mining» more  SDM 2008»
15 years 6 months ago
Large-Scale Many-Class Learning
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
Omid Madani, Michael Connor