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UAI
1997
15 years 8 months ago
A Bayesian Approach to Learning Bayesian Networks with Local Structure
Recently several researchers have investigated techniques for using data to learn Bayesian networks containing compact representations for the conditional probability distribution...
David Maxwell Chickering, David Heckerman, Christo...
200
Voted
ICDM
2005
IEEE
134views Data Mining» more  ICDM 2005»
16 years 1 months ago
A Preference Model for Structured Supervised Learning Tasks
The preference model introduced in this paper gives a natural framework and a principled solution for a broad class of supervised learning problems with structured predictions, su...
Fabio Aiolli
ISLPED
1995
ACM
125views Hardware» more  ISLPED 1995»
15 years 11 months ago
Transforming set data types to power optimal data structures
In this paper we present a novel approach to model the search space for optimal set data types in network component realisations. The main objective is to arrive at power efficie...
Sven Wuytack, Francky Catthoor, Hugo De Man
SIGDOC
1995
ACM
15 years 11 months ago
Personalized information structures II: hyperstructure hotlists
This paper describes ongoing research into the use of a domain-retargetable reverse engineering environment to aid the structural understanding of large information spaces. In par...
Scott R. Tilley, Walter M. Lamia
182
Voted
VLDB
1995
ACM
112views Database» more  VLDB 1995»
15 years 11 months ago
Type Classification of Semi-Structured Documents
Semi-structured documents (e.g. journal art,icles, electronic mail, television programs, mail order catalogs, ...) a.re often not explicitly typed; the only available t,ype inform...
Markus Tresch, Neal Palmer, Allen Luniewski