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» A Boosting Algorithm for Regression
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DIS
2009
Springer
15 years 9 months ago
Linear Programming Boosting by Column and Row Generation
Abstract. We propose a new boosting algorithm based on a linear programming formulation. Our algorithm can take advantage of the sparsity of the solution of the underlying optimiza...
Kohei Hatano, Eiji Takimoto
120
Voted
AAIM
2006
Springer
143views Algorithms» more  AAIM 2006»
15 years 8 months ago
A Compression-Boosting Transform for Two-Dimensional Data
We introduce a novel invertible transform for two-dimensional data which has the objective of reordering the matrix so it will improve its (lossless) compression at later stages. T...
Qiaofeng Yang, Stefano Lonardi, Avraham Melkman
EUROCOLT
1995
Springer
15 years 6 months ago
A decision-theoretic generalization of on-line learning and an application to boosting
k. The model we study can be interpreted as a broad, abstract extension of the well-studied on-line prediction model to a general decision-theoretic setting. We show that the multi...
Yoav Freund, Robert E. Schapire
128
Voted
ICCV
2007
IEEE
16 years 4 months ago
Active Learning with Gaussian Processes for Object Categorization
Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...
Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Tr...
131
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IRI
2007
IEEE
15 years 8 months ago
Adapting Ratings in Memory-Based Collaborative Filtering using Linear Regression
We show that the standard memory-based collaborative filtering rating prediction algorithm using the Pearson correlation can be improved by adapting user ratings using linear reg...
Jérôme Kunegis, Sahin Albayrak