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» Highly Adaptive Learning for All - Vision and Plan
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ICML
2005
IEEE
14 years 8 months ago
Supervised versus multiple instance learning: an empirical comparison
We empirically study the relationship between supervised and multiple instance (MI) learning. Algorithms to learn various concepts have been adapted to the MI representation. Howe...
Soumya Ray, Mark Craven
ICS
2007
Tsinghua U.
14 years 1 months ago
Scheduling FFT computation on SMP and multicore systems
Increased complexity of memory systems to ameliorate the gap between the speed of processors and memory has made it increasingly harder for compilers to optimize an arbitrary code...
Ayaz Ali, S. Lennart Johnsson, Jaspal Subhlok
ICRA
2008
IEEE
156views Robotics» more  ICRA 2008»
14 years 1 months ago
How to learn accurate grid maps with a humanoid
Abstract— Humanoids have recently become a popular research platform in the robotics community. Such robots offer various fields for new applications. However, they have several...
Cyrill Stachniss, Maren Bennewitz, Giorgio Grisett...
DMIN
2008
190views Data Mining» more  DMIN 2008»
13 years 8 months ago
Optimization of Self-Organizing Maps Ensemble in Prediction
The knowledge discovery process encounters the difficulties to analyze large amount of data. Indeed, some theoretical problems related to high dimensional spaces then appear and de...
Elie Prudhomme, Stéphane Lallich
PR
2006
111views more  PR 2006»
13 years 7 months ago
An adaptive error penalization method for training an efficient and generalized SVM
A novel training method has been proposed for increasing efficiency and generalization of support vector machine (SVM). The efficiency of SVM in classification is directly determi...
Yiqiang Zhan, Dinggang Shen