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NEUROSCIENCE
2001
Springer
15 years 10 months ago
Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
Doina Caragea, Adrian Silvescu, Vasant Honavar
NIPS
2007
15 years 7 months ago
Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression
We propose a method for reconstruction of human brain states directly from functional neuroimaging data. The method extends the traditional multivariate regression analysis of dis...
Sennay Ghebreab, Arnold W. M. Smeulders, Pieter W....
ACMICEC
2004
ACM
171views ECommerce» more  ACMICEC 2004»
15 years 12 months ago
Efficient integration of web services with distributed data flow and active mediation
This paper presents a loosely coupled service-composition paradigm. This paradigm employs a distributed data flow that differs markedly from centralized information flow adopted b...
David Liu, Jun Peng, Kincho H. Law, Gio Wiederhold
ICDE
2010
IEEE
311views Database» more  ICDE 2010»
16 years 3 months ago
Detecting Inconsistencies in Distributed Data
— One of the central problems for data quality is inconsistency detection. Given a database D and a set Σ of dependencies as data quality rules, we want to identify tuples in D ...
Wenfei Fan, Floris Geerts, Shuai Ma, Heiko Mü...
VLDB
1997
ACM
175views Database» more  VLDB 1997»
15 years 10 months ago
STING: A Statistical Information Grid Approach to Spatial Data Mining
Spatial data mining, i.e., discovery of interesting characteristics and patterns that may implicitly exist in spatial databases, is a challenging task due to the huge amounts of s...
Wei Wang 0010, Jiong Yang, Richard R. Muntz