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ICML
1996
IEEE
16 years 5 months ago
Discretizing Continuous Attributes While Learning Bayesian Networks
We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
Moisés Goldszmidt, Nir Friedman
ICDE
2010
IEEE
209views Database» more  ICDE 2010»
15 years 12 months ago
TopCells: Keyword-based search of top-k aggregated documents in text cube
— Previous studies on supporting keyword queries in RDBMSs provide users with a ranked list of relevant linked structures (e.g. joined tuples) or individual tuples. In this paper...
Bolin Ding, Bo Zhao, Cindy Xide Lin, Jiawei Han, C...
IJCNN
2007
IEEE
15 years 11 months ago
A Constructive-Fuzzy System Modeling for Time Series Forecasting
— This paper suggests a constructive fuzzy system modeling for time series prediction. The model proposed is based on Takagi-Sugeno system and it comprises two phases. First, a f...
Ivette Luna, Secundino Soares, Rosangela Ballini
140
Voted
ENTCS
2008
121views more  ENTCS 2008»
15 years 5 months ago
Building Certified Static Analysers by Modular Construction of Well-founded Lattices
This paper presents fixpoint calculations on lattice structures as example of highly modular programming in a dependently typed functional language. We propose a library of Coq mo...
David Pichardie
MICCAI
2010
Springer
15 years 3 months ago
Incorporating Priors on Expert Performance Parameters for Segmentation Validation and Label Fusion: A Maximum a Posteriori STAPL
Abstract. In order to evaluate the quality of segmentations of an image and assess intra- and inter-expert variability in segmentation performance, an Expectation Maximization (EM)...
Olivier Commowick, Simon K. Warfield