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BMCBI
2006
94views more  BMCBI 2006»
13 years 6 months 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...
CORR
2007
Springer
113views Education» more  CORR 2007»
13 years 6 months 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
13 years 6 months 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»
13 years 6 months 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
CN
1999
116views more  CN 1999»
13 years 6 months 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. ...