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» The Predictability of Data Values
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TSP
2010
14 years 7 months ago
Optimization and analysis of distributed averaging with short node memory
Distributed averaging describes a class of network algorithms for the decentralized computation of aggregate statistics. Initially, each node has a scalar data value, and the goal...
Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
ICDM
2003
IEEE
220views Data Mining» more  ICDM 2003»
15 years 6 months ago
Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining
Predictive data mining typically relies on labeled data without exploiting a much larger amount of available unlabeled data. The goal of this paper is to show that using unlabeled...
Kang Peng, Slobodan Vucetic, Bo Han, Hongbo Xie, Z...
81
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AVBPA
2003
Springer
126views Biometrics» more  AVBPA 2003»
15 years 5 months ago
Predicting Large Population Data Cumulative Match Characteristic Performance from Small Population Data
Given a biometric feature-space, in this paper we present a method to predict cumulative match characteristic (CMC) curve performance for a large population of individuals using a ...
Amos Y. Johnson, Jie Sun, Aaron F. Bobick
ICDT
2007
ACM
133views Database» more  ICDT 2007»
15 years 6 months ago
XML Schema Mappings in the Presence of Key Constraints and Value Dependencies
Abstract. Schema mappings play a central role in both data integration and data exchange, and are understood as high-level specifications describing the relationships between data...
Tadeusz Pankowski, Jolanta Cybulka, Adam Meissner
ATVA
2004
Springer
135views Hardware» more  ATVA 2004»
15 years 6 months ago
Using Block-Local Atomicity to Detect Stale-Value Concurrency Errors
Data races do not cover all kinds of concurrency errors. This paper presents a data-ow-based technique to nd stale-value errors, which are not found by low-level and high-level d...
Cyrille Artho, Klaus Havelund, Armin Biere