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FLAIRS
2008
15 years 8 months ago
Using Genetic Programming to Increase Rule Quality
Rule extraction is a technique aimed at transforming highly accurate opaque models like neural networks into comprehensible models without losing accuracy. G-REX is a rule extract...
Rikard König, Ulf Johansson, Lars Niklasson
NIPS
2007
15 years 8 months ago
Multi-Task Learning via Conic Programming
When we have several related tasks, solving them simultaneously is shown to be more effective than solving them individually. This approach is called multi-task learning (MTL) and...
Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama, ...
CCE
2006
15 years 6 months ago
An efficient algorithm for large scale stochastic nonlinear programming problems
The class of stochastic nonlinear programming (SNLP) problems is important in optimization due to the presence of nonlinearity and uncertainty in many applications, including thos...
Y. Shastri, Urmila M. Diwekar
TEC
2008
139views more  TEC 2008»
15 years 6 months ago
Genetic Programming Approaches for Solving Elliptic Partial Differential Equations
In this paper, we propose a technique based on genetic programming (GP) for meshfree solution of elliptic partial differential equations. We employ the least-squares collocation pr...
Andras Sobester, Prasanth B. Nair, Andy J. Keane
CONCURRENCY
2000
101views more  CONCURRENCY 2000»
15 years 6 months ago
Wide-area parallel programming using the remote method invocation model
Java's support for parallel and distributed processing makes the language attractive for metacomputing applications, such as parallel applications that run on geographically ...
Rob van Nieuwpoort, Jason Maassen, Henri E. Bal, T...