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» Dimensionality reduction and generalization
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131
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NIPS
2001
15 years 4 months ago
Estimating Car Insurance Premia: a Case Study in High-Dimensional Data Inference
Estimating insurance premia from data is a difficult regression problem for several reasons: the large number of variables, many of which are discrete, and the very peculiar shape...
Nicolas Chapados, Yoshua Bengio, Pascal Vincent, J...
130
Voted
ICASSP
2010
IEEE
15 years 3 months ago
Robust regression using sparse learning for high dimensional parameter estimation problems
Algorithms such as Least Median of Squares (LMedS) and Random Sample Consensus (RANSAC) have been very successful for low-dimensional robust regression problems. However, the comb...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
113
Voted
SIAMSC
2010
210views more  SIAMSC 2010»
14 years 10 months ago
On Two-Dimensional Sparse Matrix Partitioning: Models, Methods, and a Recipe
We consider two-dimensional partitioning of general sparse matrices for parallel sparse matrix-vector multiply operation. We present three hypergraph-partitioning-based methods, ea...
Ümit V. Çatalyürek, Cevdet Aykana...
158
Voted
GEOINFORMATICA
1998
125views more  GEOINFORMATICA 1998»
15 years 3 months ago
Computational Perspectives on Map Generalization
ally related entity types, or classes, into higher level, more abstract types, as part of a hierarchical classi®cation scheme. graphy, generalization retains the notion of abstrac...
Robert Weibel, Christopher B. Jones
LREC
2008
79views Education» more  LREC 2008»
15 years 5 months ago
On the Durational Reduction of Repeated Mentions: Recency and Speaker Effects
There are conflicting views in the literature as to the role of listener-adaptive processes in language production in general and articulatory reduction in particular. We present ...
Viktor Trón