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» The Localization Hypothesis and Machines
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ENGL
2007
80views more  ENGL 2007»
13 years 9 months ago
Calculation of Local Iron Loss in Electrical Machines Using Finite Elements Method
—Calculations of iron losses in the electrical machines are normally based on experimental characteristics of core material used in the machines. These methods with simplified ma...
Ahmad Darabi, Mohammad Ebrahim Ghazi, Hamid Lesani...
ICML
2003
IEEE
14 years 10 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...
JAIR
2000
102views more  JAIR 2000»
13 years 9 months ago
A Model of Inductive Bias Learning
A major problem in machine learning is that of inductive bias: how to choose a learner's hypothesis space so that it is large enough to contain a solution to the problem bein...
Jonathan Baxter
ICPR
2004
IEEE
14 years 11 months ago
Support Vector Machine with Local Summation Kernel for Robust Face Recognition
This paper presents Support Vector Machine (SVM) with local summation kernel for robust face recognition. In recent years, the effectiveness of SVM and local features is reported....
Kazuhiro Hotta
COLT
2000
Springer
14 years 2 months ago
The Computational Complexity of Densest Region Detection
We investigate the computational complexity of the task of detecting dense regions of an unknown distribution from un-labeled samples of this distribution. We introduce a formal l...
Shai Ben-David, Nadav Eiron, Hans-Ulrich Simon