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» Machine learning problems from optimization perspective
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MLG
2007
Springer
15 years 9 months ago
A Universal Kernel for Learning Regular Languages
We give a universal kernel that renders all the regular languages linearly separable. We are not able to compute this kernel efficiently and conjecture that it is intractable, but...
Leonid Kontorovich
136
Voted
PEPM
2011
ACM
14 years 6 months ago
Adaptation-based programming in java
Writing deterministic programs is often difficult for problems whose optimal solutions depend on unpredictable properties of the programs’ inputs. Difficulty is also encounter...
Tim Bauer, Martin Erwig, Alan Fern, Jervis Pinto
ICML
2003
IEEE
16 years 4 months ago
Testing Exchangeability On-Line
The majority of theoretical work in machine learning is done under the assumption of exchangeability: essentially, it is assumed that the examples are generated from the same prob...
Vladimir Vovk, Ilia Nouretdinov, Alexander Gammerm...
TEC
2010
77views more  TEC 2010»
14 years 10 months ago
On Set-Based Multiobjective Optimization
Abstract--Assuming that evolutionary multiobjective optimization (EMO) mainly deals with set problems, one can identify three core questions in this area of research: (i) how to fo...
Eckart Zitzler, Lothar Thiele, Johannes Bader
GLOBECOM
2010
IEEE
15 years 1 months ago
Optimal Content Transmission Policy in Publish-Subscribe Mobile Social Networks
Abstract--We consider the problem of dynamic content distribution in publish-subscribe mobile social networks. Mobile users subscribe to the content provider. Then, when new conten...
Dusit Niyato, Ping Wang, Ekram Hossain, Yifan Li