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» Selectivity Estimation using Probabilistic Models
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CORR
2007
Springer
164views Education» more  CORR 2007»
15 years 2 months ago
Consistency of the group Lasso and multiple kernel learning
We consider the least-square regression problem with regularization by a block 1-norm, that is, a sum of Euclidean norms over spaces of dimensions larger than one. This problem, r...
Francis Bach
133
Voted
KDD
2001
ACM
359views Data Mining» more  KDD 2001»
16 years 2 months ago
Data mining techniques to improve forecast accuracy in airline business
Predictive models developed by applying Data Mining techniques are used to improve forecasting accuracy in the airline business. In order to maximize the revenue on a flight, the ...
Christoph Hueglin, Francesco Vannotti
ATAL
2009
Springer
15 years 9 months ago
Analyzing the performance of randomized information sharing
In large, collaborative, heterogeneous teams, team members often collect information that is useful to other members of the team. Recognizing the utility of such information and d...
Prasanna Velagapudi, Oleg A. Prokopyev, Katia P. S...
ICASSP
2008
IEEE
15 years 9 months ago
Fine: Information embedding for document classification
The problem of document classification considers categorizing or grouping of various document types. Each document can be represented as a bag of words, which has no straightforw...
Kevin M. Carter, Raviv Raich, Alfred O. Hero
ICRA
2006
IEEE
110views Robotics» more  ICRA 2006»
15 years 8 months ago
Integration of Visual and Inertial Information for Egomotion: a Stochastic Approach
— We present a probabilistic framework for visual correspondence, inertial measurements and Egomotion. First, we describe a simple method based on Gabor filters to produce corre...
Justin Domke, Yiannis Aloimonos