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» Machine learning problems from optimization perspective
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UAI
2003
15 years 4 months ago
Learning Riemannian Metrics
We consider the problem of learning a Riemannian metric associated with a given differentiable manifold and a set of points. Our approach to the problem involves choosing a metric...
Guy Lebanon
GECCO
2007
Springer
196views Optimization» more  GECCO 2007»
15 years 8 months ago
An estimation of distribution algorithm with guided mutation for a complex flow shop scheduling problem
An Estimation of Distribution Algorithm (EDA) is proposed to approach the Hybrid Flow Shop with Sequence Dependent Setup Times and Uniform Machines in parallel (HFSSDST-UM) proble...
Abdellah Salhi, José Antonio Vázquez...
105
Voted
ML
2006
ACM
15 years 2 months ago
Relational IBL in classical music
It is well known that many hard tasks considered in machine learning and data mining can be solved in a rather simple and robust way with an instanceand distance-based approach. In...
Asmir Tobudic, Gerhard Widmer
101
Voted
IRI
2008
IEEE
15 years 9 months ago
Modeling and synthesis of service composition using tree automata
— We revisit the problem of synthesis of service composition in the context of service oriented architecture from a tree automata perspective. Comparing to existing finite state...
Ken Q. Pu, Ying Zhu
GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
15 years 3 months ago
Towards memoryless model building
Probabilistic model building methods can render difficult problems feasible by identifying and exploiting dependencies. They build a probabilistic model from the statistical prope...
David Iclanzan, Dumitru Dumitrescu