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ICDE
2008
IEEE
160views Database» more  ICDE 2008»
16 years 7 months ago
Exploiting Lineage for Confidence Computation in Uncertain and Probabilistic Databases
We study the problem of computing query results with confidence values in ULDBs: relational databases with uncertainty and lineage. ULDBs, which subsume probabilistic databases, o...
Anish Das Sarma, Martin Theobald, Jennifer Widom
312
Voted
EH
1999
IEEE
351views Hardware» more  EH 1999»
15 years 10 months ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...
KDD
2006
ACM
134views Data Mining» more  KDD 2006»
16 years 6 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
155
Voted
ML
2010
ACM
119views Machine Learning» more  ML 2010»
15 years 4 months ago
A cooperative coevolutionary algorithm for instance selection for instance-based learning
This paper presents a cooperative evolutionary approach for the problem of instance selection for instance based learning. The presented model takes advantage of one of the most r...
Nicolás García-Pedrajas, Juan Antoni...
177
Voted
DIS
2009
Springer
16 years 21 days ago
An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting
Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...
Annalisa Appice, Michelangelo Ceci, Donato Malerba