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IJRR
2008
100views more  IJRR 2008»
13 years 10 months ago
Comparing the Power of Robots
Robots must complete their tasks in spite of unreliable actuators and limited, noisy sensing. In this paper, we consider the information requirements of such tasks. What sensing a...
Jason M. O'Kane, Steven M. LaValle
NECO
2006
157views more  NECO 2006»
13 years 10 months ago
Experiments with AdaBoost.RT, an Improved Boosting Scheme for Regression
The application of boosting technique to the regression problems has received relatively little attention in contrast to the research aimed at classification problems. This paper ...
Durga L. Shrestha, Dimitri P. Solomatine
PRL
2006
121views more  PRL 2006»
13 years 10 months ago
Information-preserving hybrid data reduction based on fuzzy-rough techniques
Data reduction plays an important role in machine learning and pattern recognition with a high-dimensional data. In real-world applications data usually exists with hybrid formats...
Qinghua Hu, Daren Yu, Zongxia Xie
CLEIEJ
2002
113views more  CLEIEJ 2002»
13 years 10 months ago
The MT Stack: Paging Algorithm and Performance in a Distributed Virtual Memory System
Advances in parallel computation are of central importance to Artificial Intelligence due to the significant amount of time and space their programs require. Functional languages ...
Marco T. Morazán, Douglas R. Troeger, Myles...
JAIR
2000
102views more  JAIR 2000»
13 years 10 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