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NPL
1998
133views more  NPL 1998»
14 years 11 months ago
Parallel Coarse Grain Computing of Boltzmann Machines
Abstract. The resolution of combinatorial optimization problems can greatly benefit from the parallel and distributed processing which is characteristic of neural network paradigm...
Julio Ortega, Ignacio Rojas, Antonio F. Día...
PKDD
2004
Springer
324views Data Mining» more  PKDD 2004»
15 years 5 months ago
Orange: From Experimental Machine Learning to Interactive Data Mining
Abstract. Orange (www.ailab.si/orange) is a suite for machine learning and data mining. It can be used though scripting in Python or with visual programming in Orange Canvas using ...
Janez Demsar, Blaz Zupan, Gregor Leban, Tomaz Curk
WIA
1997
Springer
15 years 4 months ago
In Vitro Implementation of Finite-State Machines
Abstract. We explore the information processing capabilities and efciency of DNA computations by giving two di erent types of implementations of nite-state machines. A ligation-bas...
Max H. Garzon, Y. Gao, John A. Rose, R. C. Murphy,...
APPROX
2009
Springer
163views Algorithms» more  APPROX 2009»
15 years 6 months ago
The Power of Preemption on Unrelated Machines and Applications to Scheduling Orders
Abstract. Scheduling jobs on unrelated parallel machines so as to minimize the makespan is one of the basic, well-studied problems in the area of machine scheduling. In the first ...
José R. Correa, Martin Skutella, José...
ATAL
2007
Springer
15 years 6 months ago
A framework for agent-based distributed machine learning and data mining
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek