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JMLR
2002
89views more  JMLR 2002»
15 years 2 months ago
A Robust Minimax Approach to Classification
When constructing a classifier, the probability of correct classification of future data points should be maximized. We consider a binary classification problem where the mean and...
Gert R. G. Lanckriet, Laurent El Ghaoui, Chiranjib...
164
Voted
BMCBI
2011
14 years 6 months ago
Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...
FUIN
2011
358views Cryptology» more  FUIN 2011»
14 years 6 months ago
Unsupervised and Supervised Learning Approaches Together for Microarray Analysis
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopa...
CEC
2005
IEEE
15 years 8 months ago
Multiobjective clustering around medoids
Abstract- The large majority of existing clustering algorithms are centered around the notion of a feature, that is, individual data items are represented by their intrinsic proper...
Julia Handl, Joshua D. Knowles
112
Voted
WWW
2006
ACM
16 years 3 months ago
FeedEx: collaborative exchange of news feeds
As most blogs and traditional media support RSS or Atom feeds, the news feed technology becomes increasingly prevalent. Taking advantage of ubiquitous news feeds, we design FeedEx...
Seung Jun, Mustaque Ahamad