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DASFAA
2008
IEEE
106views Database» more  DASFAA 2008»
15 years 8 months ago
Flood Little, Cache More: Effective Result-Reuse in P2P IR Systems
State-of-the-art Peer-to-Peer Information Retrieval (P2P IR) systems suffer from their lack of response time guarantee especially with scale. To address this issue, a number of tec...
Christian Zimmer, Srikanta J. Bedathur, Gerhard We...
ER
2006
Springer
169views Database» more  ER 2006»
15 years 4 months ago
A More Expressive Softgoal Conceptualization for Quality Requirements Analysis
Initial software quality requirements tend to be imprecise, subjective, idealistic, and context-specific. An extended characterization of the common Softgoal concept is proposed fo...
Ivan Jureta, Stéphane Faulkner, Pierre-Yves...
120
Voted
ECSQARU
2005
Springer
15 years 8 months ago
Contextual Discounting of Belief Functions
The Transferable Belief Model is a general framework for managing imprecise and uncertain information using belief functions. In this framework, the discounting operation allows to...
David Mercier, Benjamin Quost, Thierry Denoeux
SIGMOD
2007
ACM
133views Database» more  SIGMOD 2007»
16 years 2 months ago
Making database systems usable
Database researchers have striven to improve the capability of a database in terms of both performance and functionality. We assert that the usability of a database is as importan...
H. V. Jagadish, Adriane Chapman, Aaron Elkiss, Mag...
114
Voted
ICPR
2000
IEEE
16 years 3 months ago
General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of D
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
Jakob Vogdrup Hansen, Tom Heskes