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KDD
2003
ACM
175views Data Mining» more  KDD 2003»
16 years 6 months ago
Time and sample efficient discovery of Markov blankets and direct causal relations
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
VLDB
2008
ACM
127views Database» more  VLDB 2008»
16 years 6 months ago
Delay aware querying with Seaweed
Large highly distributed data sets are poorly supported by current query technologies. Applications such as endsystembased network management are characterized by data stored on l...
Dushyanth Narayanan, Austin Donnelly, Richard Mort...
IROS
2009
IEEE
186views Robotics» more  IROS 2009»
16 years 25 days ago
A statistical approach to gas distribution modelling with mobile robots - The Kernel DM+V algorithm
— Gas distribution modelling constitutes an ideal application area for mobile robots, which – as intelligent mobile gas sensors – offer several advantages compared to station...
Achim J. Lilienthal, Matteo Reggente, Marco Trinca...
BMCBI
2007
143views more  BMCBI 2007»
15 years 6 months ago
An adaptive bin framework search method for a beta-sheet protein homopolymer model
Background: The problem of protein structure prediction consists of predicting the functional or native structure of a protein given its linear sequence of amino acids. This probl...
Alena Shmygelska, Holger H. Hoos
BMCBI
2008
95views more  BMCBI 2008»
15 years 6 months ago
Identification and correction of abnormal, incomplete and mispredicted proteins in public databases
Background: Despite significant improvements in computational annotation of genomes, sequences of abnormal, incomplete or incorrectly predicted genes and proteins remain abundant ...
Alinda Nagy, Hédi Hegyi, Krisztina Farkas, ...