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JAIR
1998
198views more  JAIR 1998»
15 years 6 days ago
Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
Alberto Ruiz, Pedro E. López-de-Teruel, M. ...
102
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DBPL
1999
Springer
125views Database» more  DBPL 1999»
15 years 4 months ago
An Overview of Souk Nets: A Component-Based Paradigm for Data Source Integration
Construction of complex software systems with largely off-the-shelf components has become a reality with the wide availability and acceptance of component frameworks and distribut...
William J. McIver Jr., Karim Keddara, Christian Oc...
102
Voted
ICALP
2003
Springer
15 years 5 months ago
Multicommodity Demand Flow in a Tree
We consider requests for capacity in a given tree network T = (V, E) where each edge of the tree has some integer capacity ue. Each request consists of an integer demand df and a ...
Chandra Chekuri, Marcelo Mydlarz, F. Bruce Shepher...
107
Voted
DEXA
2000
Springer
147views Database» more  DEXA 2000»
15 years 4 months ago
Lattice-Structured Domains, Imperfect Data and Inductive Queries
The relational model, as proposed by Codd, contained the concept of relations as tables composed of tuples of single valued attributes taken from a domain. In most of the early lit...
Sally Rice, John F. Roddick
ACL
1994
15 years 1 months ago
A Markov Language Learning Model for Finite Parameter Spaces
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
Partha Niyogi, Robert C. Berwick