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» A Boosting Algorithm for Regression
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TIP
2010
77views more  TIP 2010»
14 years 10 months ago
A Motion-Aligned Auto-Regressive Model for Frame Rate Up Conversion
In this paper, a motion-aligned auto-regressive (MAAR) model is proposed for frame rate up conversion, where each pixel is interpolated as the average of the results generated by o...
Yongbing Zhang, Debin Zhao, Siwei Ma, Ronggang Wan...
BMVC
2010
15 years 2 months ago
A general boosting-based framework for active object recognition
We propose a novel general framework with a boosting algorithm to achieve active object classification by view selection. The proposed framework actively decides the next best vie...
Zhaoyin Jia, Yao-Jen Chang, Tsuhan Chen
SIGIR
2006
ACM
15 years 10 months ago
Learning a ranking from pairwise preferences
We introduce a novel approach to combining rankings from multiple retrieval systems. We use a logistic regression model or an SVM to learn a ranking from pairwise document prefere...
Ben Carterette, Desislava Petkova
EUROGP
2008
Springer
105views Optimization» more  EUROGP 2008»
15 years 5 months ago
A Linear Estimation-of-Distribution GP System
We present N-gram GP, an estimation of distribution algorithm for the evolution of linear computer programs. The algorithm learns and samples the joint probability distribution of...
Riccardo Poli, Nicholas Freitag McPhee
120
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AAAI
2006
15 years 5 months ago
Disco - Novo - GoGo: Integrating Local Search and Complete Search with Restarts
A hybrid algorithm is devised to boost the performance of complete search on under-constrained problems. We suggest to use random variable selection in combination with restarts, ...
Meinolf Sellmann, Carlos Ansótegui