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ICML
2009
IEEE
16 years 7 months ago
A convex formulation for learning shared structures from multiple tasks
Multi-task learning (MTL) aims to improve generalization performance by learning multiple related tasks simultaneously. In this paper, we consider the problem of learning shared s...
Jianhui Chen, Lei Tang, Jun Liu, Jieping Ye
ICML
2007
IEEE
16 years 7 months ago
Bottom-up learning of Markov logic network structure
Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes first-order logic and Markov networks. The current sta...
Lilyana Mihalkova, Raymond J. Mooney
ICML
2005
IEEE
16 years 7 months ago
Discriminative versus generative parameter and structure learning of Bayesian network classifiers
In this paper, we compare both discriminative and generative parameter learning on both discriminatively and generatively structured Bayesian network classifiers. We use either ma...
Franz Pernkopf, Jeff A. Bilmes
SIGMOD
2003
ACM
141views Database» more  SIGMOD 2003»
16 years 6 months ago
QC-Trees: An Efficient Summary Structure for Semantic OLAP
Recently, a technique called quotient cube was proposed as a summary structure for a data cube that preserves its semantics, with applications for online exploration and visualiza...
Laks V. S. Lakshmanan, Jian Pei, Yan Zhao
COCOON
2009
Springer
16 years 1 months ago
Determination of Glycan Structure from Tandem Mass Spectra
Glycans are molecules made from simple sugars that form complex tree structures. Glycans constitute one of the most important protein modifications, and identification of glycans...
Sebastian Böcker, Birte Kehr, Florian Rasche