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» Prediction on Spike Data Using Kernel Algorithms
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ICML
2005
IEEE
15 years 10 months ago
Beyond the point cloud: from transductive to semi-supervised learning
Due to its occurrence in engineering domains and implications for natural learning, the problem of utilizing unlabeled data is attracting increasing attention in machine learning....
Vikas Sindhwani, Partha Niyogi, Mikhail Belkin
ESWA
2006
122views more  ESWA 2006»
14 years 9 months ago
Transmembrane segments prediction and understanding using support vector machine and decision tree
In recent years, there have been many studies focusing on improving the accuracy of prediction of transmembrane segments, and many significant results have been achieved. In spite...
Jieyue He, Hae-Jin Hu, Robert W. Harrison, Phang C...
KDD
2010
ACM
188views Data Mining» more  KDD 2010»
14 years 7 months ago
Trust network inference for online rating data using generative models
In an online rating system, raters assign ratings to objects contributed by other users. In addition, raters can develop trust and distrust on object contributors depending on a f...
Freddy Chong Tat Chua, Ee-Peng Lim
WSDM
2012
ACM
352views Data Mining» more  WSDM 2012»
13 years 5 months ago
Multi-relational matrix factorization using bayesian personalized ranking for social network data
A key element of the social networks on the internet such as Facebook and Flickr is that they encourage users to create connections between themselves, other users and objects. On...
Artus Krohn-Grimberghe, Lucas Drumond, Christoph F...
ACSD
2005
IEEE
66views Hardware» more  ACSD 2005»
15 years 3 months ago
Gaining Predictability and Noise Immunity in Global Interconnects
We present a bundled data communication scheme that is robust to crosstalk effects, and to manufacturing and environmental variations. Unlike a data bus, where each receiver alway...
Yinghua Li, Alex Kondratyev, Robert K. Brayton