1180 search results - page 131 / 236 » An Instance Selection Approach to Multiple Instance Learning |
AI
2008
Springer
14 years 10 months ago
2008
Springer
Preference learning is a challenging problem that involves the prediction of complex structures, such as weak or partial order relations, rather than single values. In the recent ...
116
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FROCOS
2011
Springer
13 years 9 months ago
2011
Springer
A dominant approach to Satisfiability Modulo Theories (SMT) relies on the integration of a Conflict-Driven-Clause-Learning (CDCL) SAT solver and of a decision procedure able to h...
DATE
2008
IEEE
15 years 4 months ago
2008
IEEE
With the advance of SAT solvers, transforming a software program to a propositional formula has generated much interest for bounded model checking of software in recent years. How...
100
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KAIS
2010
14 years 8 months ago
2010
Real world data mining applications must address the issue of learning from imbalanced data sets. The problem occurs when the number of instances in one class greatly outnumbers t...
140
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IS
2011
14 years 4 months ago
2011
Abstract. Process mining allows for the automated discovery of process models from event logs. These models provide insights and enable various types of model-based analysis. This ...