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» Improving Rule Evaluation Using Multitask Learning
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ECCV
2010
Springer
15 years 3 months ago
Improving the Fisher Kernel for Large-Scale Image Classification
Abstract. The Fisher kernel (FK) is a generic framework which combines the benefits of generative and discriminative approaches. In the context of image classification the FK was s...
AIR
2000
91views more  AIR 2000»
15 years 1 months ago
PlanMine: Predicting Plan Failures Using Sequence Mining
This paper presents the PLANMINE sequence mining algorithm to extract patterns of events that predict failures in databases of plan executions. New techniques were needed because p...
Mohammed Javeed Zaki, Neal Lesh, Mitsunori Ogihara
NIPS
1994
15 years 3 months ago
Combining Estimators Using Non-Constant Weighting Functions
This paper discusses the linearly weighted combination of estimators in which the weighting functions are dependent on the input. We show that the weighting functions can be deriv...
Volker Tresp, Michiaki Taniguchi
ACISICIS
2007
IEEE
15 years 8 months ago
2D Barcode and Augmented Reality Supported English Learning System
This study aims to construct a 2D barcode and handheld augmented reality supported learning system called HELLO (Handheld English Language Learning Organization), to improve stude...
Tsung-Yu Liu, Tan-Hsu Tan, Yu-Ling Chu
GECCO
2010
Springer
195views Optimization» more  GECCO 2010»
15 years 5 months ago
Improved step size adaptation for the MO-CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is an evolutionary algorithm for continuous vector-valued optimization. It combines indicator-based...
Thomas Voß, Nikolaus Hansen, Christian Igel