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KDD
2010
ACM
274views Data Mining» more  KDD 2010»
13 years 11 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing
SASO
2007
IEEE
14 years 1 months ago
Root Cause Isolation for Self Healing in J2EE Environments
— The increasing complexity of distributed enterprise systems has made the task of managing these systems difficult and time consuming. The only way to simplify the management p...
Umesh Bellur, Amar Agrawal
BMCBI
2007
133views more  BMCBI 2007»
13 years 7 months ago
Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
Background: Gene expression measurements during the development of the fly Drosophila melanogaster are routinely used to find functional modules of temporally co-expressed genes. ...
Ivan G. Costa, Roland Krause, Lennart Opitz, Alexa...
WSC
2007
13 years 10 months ago
Work smarter, not harder: guidelines for designing simulation experiments
We present the basic concepts of experimental design, the types of goals it can address, and why it is such an important and useful tool for simulation. A well-designed experiment...
Susan M. Sanchez
ITICSE
2004
ACM
14 years 1 months ago
What do we mean by theoretically sound research in computer science education?
With our interest to improve our education in computer science, an understanding of how students learn about CS concepts, how different concepts are understood, as well as the con...
Mordechai Ben-Ari, Anders Berglund, Shirley Booth,...