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» Cosparse analysis modeling - uniqueness and algorithms
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132
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ESWA
2006
154views more  ESWA 2006»
15 years 3 months ago
Artificial neural networks with evolutionary instance selection for financial forecasting
In this paper, I propose a genetic algorithm (GA) approach to instance selection in artificial neural networks (ANNs) for financial data mining. ANN has preeminent learning abilit...
Kyoung-jae Kim
159
Voted
TWC
2008
156views more  TWC 2008»
15 years 3 months ago
Dynamic Bandwidth Allocation for QoS Provisioning in IEEE 802.16 Networks with ARQ-SA
In this paper, bandwidth allocation, in terms of distributing available data slots among different users, is studied for QoS provisioning in IEEE 802.16 networks. By considering th...
Weiwei Wang, Zihua Guo, Xuemin Shen, Changjia Chen...
133
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AI
2002
Springer
15 years 3 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
130
Voted
FGR
2011
IEEE
176views Biometrics» more  FGR 2011»
14 years 7 months ago
Prop-free pointing detection in dynamic cluttered environments
Abstract—Vision-based prop-free pointing detection is challenging both from an algorithmic and a systems standpoint. From a computer vision perspective, accurately determining wh...
Pyry Matikainen, Padmanabhan Pillai, Lily B. Mumme...
140
Voted
SODA
2008
ACM
110views Algorithms» more  SODA 2008»
15 years 5 months ago
Why simple hash functions work: exploiting the entropy in a data stream
Hashing is fundamental to many algorithms and data structures widely used in practice. For theoretical analysis of hashing, there have been two main approaches. First, one can ass...
Michael Mitzenmacher, Salil P. Vadhan