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» Structural Inference for Semistructured Data
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JMLR
2010
129views more  JMLR 2010»
14 years 10 months ago
Efficient Multioutput Gaussian Processes through Variational Inducing Kernels
Interest in multioutput kernel methods is increasing, whether under the guise of multitask learning, multisensor networks or structured output data. From the Gaussian process pers...
Mauricio Alvarez, David Luengo, Michalis Titsias, ...
SIGMOD
1999
ACM
98views Database» more  SIGMOD 1999»
15 years 7 months ago
Self-tuning Histograms: Building Histograms Without Looking at Data
In this paper, we introduce self-tuning histograms. Although similar in structure to traditional histograms, these histograms infer data distributions not by examining the data or...
Ashraf Aboulnaga, Surajit Chaudhuri
SAT
2005
Springer
115views Hardware» more  SAT 2005»
15 years 8 months ago
Improved Exact Solvers for Weighted Max-SAT
We present two new branch and bound weighted Max-SAT solvers (Lazy and Lazy ) which incorporate original data structures and inference rules, and a lower bound of better quality.
Teresa Alsinet, Felip Manyà, Jordi Planes
VLDB
1998
ACM
147views Database» more  VLDB 1998»
15 years 7 months ago
Scalable Techniques for Mining Causal Structures
Mining for association rules in market basket data has proved a fruitful areaof research. Measures such as conditional probability (confidence) and correlation have been used to i...
Craig Silverstein, Sergey Brin, Rajeev Motwani, Je...
ICFP
2005
ACM
16 years 3 months ago
PolyAML: a polymorphic aspect-oriented functional programming language
This paper defines PolyAML, a typed functional, aspect-oriented programming language. The main contribution of PolyAML is the seamless integration of polymorphism, run-time type a...
Daniel S. Dantas, David Walker, Geoffrey Washburn,...