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» Classifier Selection Based on Data Complexity Measures
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98
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EMNETS
2007
15 years 2 months ago
An HMM framework for optimal sensor selection with applications to BSN sensor glove design
Laparoscopic surgical training is a challenging task due to the complexity of instrument control and demand on manual dexterity and hand-eye coordination. Currently, training and ...
Rachel C. King, Louis Atallah, Ara Darzi, Guang-Zh...
JISE
2010
144views more  JISE 2010»
14 years 5 months ago
Variant Methods of Reduced Set Selection for Reduced Support Vector Machines
In dealing with large datasets the reduced support vector machine (RSVM) was proposed for the practical objective to overcome the computational difficulties as well as to reduce t...
Li-Jen Chien, Chien-Chung Chang, Yuh-Jye Lee
113
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CHI
2011
ACM
14 years 1 months ago
Collaborative creativity: a complex systems model with distributed affect
The study of creativity has received significant attention over the past century, with a recent increase in interest in collaborative, distributed creativity. We posit that creati...
Cecilia R. Aragon, Alison Williams
BMCBI
2010
164views more  BMCBI 2010»
14 years 7 months ago
Merged consensus clustering to assess and improve class discovery with microarray data
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
T. Ian Simpson, J. Douglas Armstrong, Andrew P. Ja...
101
Voted
ICCD
1999
IEEE
122views Hardware» more  ICCD 1999»
15 years 2 months ago
Design and Evaluation of a Selective Compressed Memory System
This research explores any potential for an on-chip cache compression which can reduce not only cache miss ratio but also miss penalty, if main memory is also managed in compresse...
Jang-Soo Lee, Won-Kee Hong, Shin-Dug Kim