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» An algorithmic approach to knowledge evolution
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BMCBI
2010
110views more  BMCBI 2010»
15 years 6 months ago
Discovering local patterns of co - evolution: computational aspects and biological examples
Background: Co-evolution is the process in which two (or more) sets of orthologs exhibit a similar or correlative pattern of evolution. Co-evolution is a powerful way to learn abo...
Tamir Tuller, Yifat Felder, Martin Kupiec
ECCV
2006
Springer
16 years 8 months ago
An Integral Solution to Surface Evolution PDEs Via Geo-cuts
We introduce a new approach to modelling gradient flows of contours and surfaces. While standard variational methods (e.g. level sets) compute local interface motion in a different...
Yuri Boykov, Vladimir Kolmogorov, Daniel Cremers, ...
ECBS
2005
IEEE
126views Hardware» more  ECBS 2005»
16 years 7 days ago
Toward Introducing Notification Technology into Distributed Project Teams
Software development can be thought of as the evolution act requirements into a concrete software system. The evolution, achieved through a successive series of elaborations and r...
Jamie L. Smith, Shawn A. Bohner, D. Scott McCricka...
ICDE
2009
IEEE
156views Database» more  ICDE 2009»
16 years 1 months ago
Support Multi-version Applications in SaaS via Progressive Schema Evolution
— Update of applications in SaaS is expected to be a continuous efforts and cannot be done overnight or over the weekend. In such migration efforts, users are trained and shifted...
Jianfeng Yan, Bo Zhang
ICML
2007
IEEE
16 years 7 months ago
Combining online and offline knowledge in UCT
The UCT algorithm learns a value function online using sample-based search. The TD() algorithm can learn a value function offline for the on-policy distribution. We consider three...
Sylvain Gelly, David Silver