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FOCS
2008
IEEE
16 years 1 months ago
What Can We Learn Privately?
Learning problems form an important category of computational tasks that generalizes many of the computations researchers apply to large real-life data sets. We ask: what concept ...
Shiva Prasad Kasiviswanathan, Homin K. Lee, Kobbi ...
ACSC
2003
IEEE
15 years 12 months ago
A Unifying Semantic Distance Model for Determining the Similarity of Attribute Values
The relative difference between two data values is of interest in a number of application domains including temporal and spatial applications, schema versioning, data warehousing...
John F. Roddick, Kathleen Hornsby, Denise de Vries
COOPIS
2002
IEEE
15 years 11 months ago
Formal Ontology Engineering in the DOGMA Approach
This paper presents a specifically database-inspired approach (called DOGMA) for engineering formal ontologies, implemented as shared resources used to express agreed formal semant...
Mustafa Jarrar, Robert Meersman
TOIS
2010
128views more  TOIS 2010»
15 years 5 months ago
Learning author-topic models from text corpora
We propose a new unsupervised learning technique for extracting information about authors and topics from large text collections. We model documents as if they were generated by a...
Michal Rosen-Zvi, Chaitanya Chemudugunta, Thomas L...
CORR
2012
Springer
212views Education» more  CORR 2012»
14 years 2 months ago
A Bi-Directional Refinement Algorithm for the Calculus of (Co)Inductive Constructions
The paper describes the refinement algorithm for the Calculus of (Co)Inductive Constructions (CIC) implemented in the interactive theorem prover Matita. The refinement algorithm ...
Andrea Asperti, Wilmer Ricciotti, Claudio Sacerdot...