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GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
13 years 10 months ago
Dynamic multi-objective optimization with evolutionary algorithms: a forward-looking approach
This work describes a forward-looking approach for the solution of dynamic (time-changing) problems using evolutionary algorithms. The main idea of the proposed method is to combi...
Iason Hatzakis, David Wallace
SIGIR
2008
ACM
13 years 6 months ago
Learning from labeled features using generalized expectation criteria
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
Gregory Druck, Gideon S. Mann, Andrew McCallum
VISUALIZATION
1998
IEEE
13 years 11 months ago
A general method for preserving attribute values on simplified meshes
Many sophisticated solutions have been proposed to reduce the geometric complexity of 3D meshes. A less studied problem is how to preserve on a simplified mesh the detail (e.g. co...
Paolo Cignoni, Claudio Montani, Roberto Scopigno, ...
ICCAD
1999
IEEE
84views Hardware» more  ICCAD 1999»
13 years 11 months ago
OPTIMISTA: state minimization of asynchronous FSMs for optimum output logic
The optimal state minimization problem is to select a reduced state machine having the best logic implementation over all possible state reductions and encodings. A recent algorit...
Robert M. Fuhrer, Steven M. Nowick
WWW
2007
ACM
14 years 7 months ago
A scalable application placement controller for enterprise data centers
Given a set of machines and a set of Web applications with dynamically changing demands, an online application placement controller decides how many instances to run for each appl...
Chunqiang Tang, Malgorzata Steinder, Mike Spreitze...