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» Abstract and Discrete Modeling of Spatio-Temporal Data Types
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CORR
2006
Springer
99views Education» more  CORR 2006»
13 years 7 months ago
PAC Learning Mixtures of Axis-Aligned Gaussians with No Separation Assumption
Abstract. We propose and analyze a new vantage point for the learning of mixtures of Gaussians: namely, the PAC-style model of learning probability distributions introduced by Kear...
Jon Feldman, Ryan O'Donnell, Rocco A. Servedio
SIGMOD
2008
ACM
169views Database» more  SIGMOD 2008»
14 years 7 months ago
MCDB: a monte carlo approach to managing uncertain data
To deal with data uncertainty, existing probabilistic database systems augment tuples with attribute-level or tuple-level probability values, which are loaded into the database al...
Ravi Jampani, Fei Xu, Mingxi Wu, Luis Leopoldo Per...
ACML
2009
Springer
14 years 2 months ago
Linear Time Model Selection for Mixture of Heterogeneous Components
Abstract: Our main contribution is to propose a novel model selection methodology, expectation minimization of information criterion (EMIC). EMIC makes a significant impact on the...
Ryohei Fujimaki, Satoshi Morinaga, Michinari Momma...
ICDE
2008
IEEE
161views Database» more  ICDE 2008»
14 years 9 months ago
Efficiently Answering Probabilistic Threshold Top-k Queries on Uncertain Data
on Uncertain Data (Extended Abstract) Ming Hua Jian Pei Wenjie Zhang Xuemin Lin Simon Fraser University, Canada The University of New South Wales & NICTA {mhua, jpei}@cs.sfu.c...
Ming Hua, Jian Pei, Wenjie Zhang, Xuemin Lin
ER
2004
Springer
104views Database» more  ER 2004»
14 years 29 days ago
Incremental Navigation: Providing Simple and Generic Access to Heterogeneous Structures
Abstract. We present an approach to support incremental navigation of structured information, where the structure is introduced by the data model and schema (if present) of a data ...
Shawn Bowers, Lois M. L. Delcambre