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» The Localization Hypothesis and Machines
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ICTAI
2006
IEEE
14 years 3 months ago
Intelligent Optimization via Learnable Evolution Model
A new method for optimizing complex functions and systems is described that employs Learnable Evolution Model (LEM), a form of non-Darwinian evolutionary computation guided by mac...
Ryszard S. Michalski, Janusz Wojtusiak, Kenneth A....
ICRA
2002
IEEE
150views Robotics» more  ICRA 2002»
14 years 2 months ago
Detecting Surface Features During Locomotion using Optic Flow
We test the hypothesis that: (1) Optic flow can be used to detect significant environmental features during locomotion in a biped, even given significant up and down movement and j...
M. Anthony Lewis
AAAI
2008
14 years 6 days ago
Strategyproof Classification under Constant Hypotheses: A Tale of Two Functions
We consider the following setting: a decision maker must make a decision based on reported data points with binary labels. Subsets of data points are controlled by different selfi...
Reshef Meir, Ariel D. Procaccia, Jeffrey S. Rosens...
NIPS
2007
13 years 11 months ago
A Kernel Statistical Test of Independence
Although kernel measures of independence have been widely applied in machine learning (notably in kernel ICA), there is as yet no method to determine whether they have detected st...
Arthur Gretton, Kenji Fukumizu, Choon Hui Teo, Le ...
PRL
1998
87views more  PRL 1998»
13 years 9 months ago
Global and local neural network ensembles
Surprisingly simple local learning algorithms are known to outperform many other global non-linear machines. Unfortunately, these algorithms are computationally costly. A means of...
A. Sierra, Carlos Santa Cruz