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BMCBI
2007
153views more  BMCBI 2007»
15 years 6 months ago
A new pairwise kernel for biological network inference with support vector machines
Background: Much recent work in bioinformatics has focused on the inference of various types of biological networks, representing gene regulation, metabolic processes, protein-pro...
Jean-Philippe Vert, Jian Qiu, William Stafford Nob...
DAGM
2011
Springer
14 years 6 months ago
Agnostic Domain Adaptation
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
Alexander Vezhnevets, Joachim M. Buhmann
ER
2007
Springer
97views Database» more  ER 2007»
16 years 17 days ago
Towards Active Conceptual Modelling for Sudden Events
There are a number of issues for information systems which are required to collect data urgently that are not well accommodated by current conceptual modelling methodologies and a...
John F. Roddick, Aaron Ceglar, Denise de Vries
VALUETOOLS
2006
ACM
164views Hardware» more  VALUETOOLS 2006»
16 years 10 days ago
Analysis of Markov reward models using zero-suppressed multi-terminal BDDs
High-level stochastic description methods such as stochastic Petri nets, stochastic UML statecharts etc., together with specifications of performance variables (PVs), enable a co...
Kai Lampka, Markus Siegle
MST
2006
136views more  MST 2006»
15 years 6 months ago
Simple Efficient Load-Balancing Algorithms for Peer-to-Peer Systems
Load balancing is a critical issue for the efficient operation of peerto-peer networks. We give two new load-balancing protocols whose provable performance guarantees are within a...
David R. Karger, Matthias Ruhl