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JAIR
1998
198views more  JAIR 1998»
13 years 7 months 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. ...
DBPL
1999
Springer
125views Database» more  DBPL 1999»
14 years 1 days 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...
ICALP
2003
Springer
14 years 29 days 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...
DEXA
2000
Springer
147views Database» more  DEXA 2000»
14 years 3 days 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
13 years 9 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