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111
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BMCBI
2006
94views more  BMCBI 2006»
15 years 16 days ago
Noise-injected neural networks show promise for use on small-sample expression data
Background: Overfitting the data is a salient issue for classifier design in small-sample settings. This is why selecting a classifier from a constrained family of classifiers, on...
Jianping Hua, James Lowey, Zixiang Xiong, Edward R...
97
Voted
CORR
2007
Springer
113views Education» more  CORR 2007»
15 years 14 days ago
Communication under Strong Asynchronism
We consider asynchronous communication over point-to-point discrete memoryless channels without feedback. The transmitter starts sending one block codeword at an instant that is u...
Aslan Tchamkerten, Venkat Chandar, Gregory W. Worn...
MMS
2008
15 years 13 days ago
Evalvid-RA: trace driven simulation of rate adaptive MPEG-4 VBR video
Due to the increasing deployment of conversational real-time applications like VoIP and videoconferencing, the Internet is today facing new challenges. Low end-to-end delay is a vi...
Arne Lie, Jirka Klaue
EOR
2007
165views more  EOR 2007»
15 years 13 days ago
Adaptive credit scoring with kernel learning methods
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
Yingxu Yang
77
Voted
CN
1999
116views more  CN 1999»
15 years 4 days ago
Network-conscious GIF image transmission over the Internet
Traditional image compression techniques seek the smallest possible le size for a given level of image quality. By contrast, network-conscious image compression techniques take in...
Paul D. Amer, Sami Iren, Gul E. Sezen, Phillip T. ...