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» Program Speedups in Theory and Practice
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AAAI
1998
15 years 1 months ago
Boosting in the Limit: Maximizing the Margin of Learned Ensembles
The "minimum margin" of an ensemble classifier on a given training set is, roughly speaking, the smallest vote it gives to any correct training label. Recent work has sh...
Adam J. Grove, Dale Schuurmans
99
Voted
SODA
2003
ACM
142views Algorithms» more  SODA 2003»
15 years 1 months ago
The similarity metric
—A new class of distances appropriate for measuring similarity relations between sequences, say one type of similarity per distance, is studied. We propose a new “normalized in...
Ming Li, Xin Chen, Xin Li, Bin Ma, Paul M. B. Vit&...
103
Voted
WSC
2000
15 years 1 months ago
Modeling reality with simulation games for a cooperative learning
In this work we want to show the importance of visualization, interfaces and re-design techniques through 3D modeling, animations and VRML in the developing of the simulation game...
João Rafael Galvão, Paulo Garcia Mar...
109
Voted
ATMOS
2010
169views Optimization» more  ATMOS 2010»
14 years 10 months ago
Traffic Signal Optimization Using Cyclically Expanded Networks
Traditionally, the coordination of multiple traffic signals and the traffic assignment problem in an urban street network are considered as two separate optimization problems. How...
Ekkehard Köhler, Martin Strehler
164
Voted
TCAD
2010
168views more  TCAD 2010»
14 years 7 months ago
An MILP-Based Performance Analysis Technique for Non-Preemptive Multitasking MPSoC
For real-time applications, it is necessary to estimate the worst-case performance early in the design process without actual hardware implementation. While the non-preemptive task...
Hoeseok Yang, Sungchan Kim, Soonhoi Ha