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» Complexity of Reasoning over Temporal Data Models
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CGF
2006
111views more  CGF 2006»
14 years 9 months ago
Efficient Large Scale Acquisition of Building Interiors
We describe a system for the rapid acquisition of building interiors. In 40 hours, a two member team with a single acquisition device captured a model of the corridors and 20 indi...
Gleb Bahmutov, Voicu Popescu, Mihai Mudure
KDD
2010
ACM
274views Data Mining» more  KDD 2010»
15 years 1 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing
GPCE
2004
Springer
15 years 3 months ago
Taming Macros
Scheme includes a simple yet powerful macro mechanism. Using macros, programmers can easily extend the language with new kinds of expressions and definitions, thus abstracting ove...
Ryan Culpepper, Matthias Felleisen
KDD
2009
ACM
210views Data Mining» more  KDD 2009»
15 years 10 months ago
Large-scale behavioral targeting
Behavioral targeting (BT) leverages historical user behavior to select the ads most relevant to users to display. The state-of-the-art of BT derives a linear Poisson regression mo...
Ye Chen, Dmitry Pavlov, John F. Canny
WSDM
2010
ACM
213views Data Mining» more  WSDM 2010»
15 years 7 months ago
Corroborating Information from Disagreeing Views
We consider a set of views stating possibly conflicting facts. Negative facts in the views may come, e.g., from functional dependencies in the underlying database schema. We want ...
Alban Galland, Serge Abiteboul, Amélie Mari...