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» Properties of Synthetic Optimization Problems
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BMCBI
2008
103views more  BMCBI 2008»
15 years 3 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»
13 years 5 months 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»
15 years 9 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»
15 years 9 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»
15 years 3 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 ...