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» A Data Model for Effectively Computable Functions
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NIPS
1992
15 years 7 months ago
Explanation-Based Neural Network Learning for Robot Control
How can artificial neural nets generalize better from fewer examples? In order to generalize successfully, neural network learning methods typically require large training data se...
Tom M. Mitchell, Sebastian Thrun
ICDE
2010
IEEE
311views Database» more  ICDE 2010»
16 years 3 months ago
Detecting Inconsistencies in Distributed Data
— One of the central problems for data quality is inconsistency detection. Given a database D and a set Σ of dependencies as data quality rules, we want to identify tuples in D ...
Wenfei Fan, Floris Geerts, Shuai Ma, Heiko Mü...
WCNC
2010
IEEE
15 years 5 months ago
Interference Modeling for Cognitive Radio Networks with Power or Contention Control
—In this paper, we present an interference model for cognitive radio (CR) networks employing power control or contention control scheme. The probability density functions (PDFs) ...
Zengmao Chen, Cheng-Xiang Wang, Xuemin Hong, John ...
BIRTHDAY
2003
Springer
15 years 10 months ago
Aspect Validation Using Model Checking
Aspects are intended to add needed functionality to a system or to treat concerns of the system by augmenting or changing the existing code in a manner that cross-cuts the usual c...
Shmuel Katz, Marcelo Sihman
PRL
1998
98views more  PRL 1998»
15 years 6 months ago
Density propagation for surface tracking
This paper describes a novel approach to surface tracking in volumetric image stacks. It draws on a statistical model of the uncertainties inherent in the characterisation of feat...
Nigel G. Sharp, Edwin R. Hancock