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93
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CDC
2009
IEEE
138views Control Systems» more  CDC 2009»
14 years 9 months ago
Beyond local optimality: An improved approach to hybrid model learning
Abstract-- Local convergence is a limitation of many optimization approaches for multimodal functions. For hybrid model learning, this can mean a compromise in accuracy. We develop...
Stephanie Gil, Brian Williams
88
Voted
DATE
2003
IEEE
92views Hardware» more  DATE 2003»
15 years 5 months ago
An Integrated Approach for Improving Cache Behavior
The widening gap between processor and memory speeds renders data locality optimization a very important issue in data-intensive embedded applications. Throughout the years hardwa...
Gokhan Memik, Mahmut T. Kandemir, Alok N. Choudhar...
GLOBECOM
2007
IEEE
15 years 6 months ago
A Collision Avoidance Mechanism for IEEE 802.11e EDCA Protocol to Improve Voice Transmissions in Wireless Local Area Networks
—Enhanced distributed channel access (EDCA) is the basis protocol in IEEE 802.11e protocol suite. It is used for providing differentiated quality of service (QoS) in IEEE 802.11e...
Khalim Amjad Meerja, Abdallah Shami
FLAIRS
2006
15 years 1 months ago
Decomposing Local Probability Distributions in Bayesian Networks for Improved Inference and Parameter Learning
A major difficulty in building Bayesian network models is the size of conditional probability tables, which grow exponentially in the number of parents. One way of dealing with th...
Adam Zagorecki, Mark Voortman, Marek J. Druzdzel
97
Voted
DAWAK
2008
Springer
15 years 1 months ago
Selective Pre-processing of Imbalanced Data for Improving Classification Performance
In this paper we discuss problems of constructing classifiers from imbalanced data. We describe a new approach to selective preprocessing of imbalanced data which combines local ov...
Jerzy Stefanowski, Szymon Wilk