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» Properties of Synthetic Optimization Problems
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BMCBI
2008
103views more  BMCBI 2008»
13 years 10 months ago
Discovering multi-level structures in bio-molecular data through the Bernstein inequality
Background: The unsupervised discovery of structures (i.e. clusterings) underlying data is a central issue in several branches of bioinformatics. Methods based on the concept of s...
Alberto Bertoni, Giorgio Valentini
KDD
2012
ACM
207views Data Mining» more  KDD 2012»
12 years 15 days ago
Robust multi-task feature learning
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
Pinghua Gong, Jieping Ye, Changshui Zhang
BIBE
2006
IEEE
135views Bioinformatics» more  BIBE 2006»
14 years 4 months ago
Evidence of Multiple Maximum Likelihood Points for a Phylogenetic Tree
An interesting and important, but largely ignored question associated with the ML method is whether there exists only a single maximum likelihood point for a given phylogenetic tr...
Bing Bing Zhou, Monther Tarawneh, Pinghao Wang, Da...
ICDE
2006
IEEE
159views Database» more  ICDE 2006»
14 years 4 months ago
Replication Based on Objects Load under a Content Distribution Network
Users tend to use the Internet for “resource-hungry” applications (which involve content such as video, audio on-demand and distributed data) and at the same time, more and mo...
George Pallis, Konstantinos Stamos, Athena Vakali,...
JMLR
2006
169views more  JMLR 2006»
13 years 10 months ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...