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MICAI
2007
Springer
14 years 3 months ago
Weighted Instance-Based Learning Using Representative Intervals
Instance-based learning algorithms are widely used due to their capacity to approximate complex target functions; however, the performance of this kind of algorithms degrades signi...
Octavio Gómez, Eduardo F. Morales, Jes&uacu...
MDM
2010
Springer
180views Communications» more  MDM 2010»
14 years 1 months ago
Online Time Interval Top-k Queries in Wireless Sensor Networks
Motivated by many applications, top-k query is a fundamental operation in modern database systems. Technological advances have enabled the deployment of large-scale sensor networks...
Baichen Chen, Weifa Liang, Jeffrey Xu Yu
ISAAC
2000
Springer
178views Algorithms» more  ISAAC 2000»
14 years 15 days ago
Simple Algorithms for a Weighted Interval Selection Problem
Given a set of jobs, each consisting of a number of weighted intervals on the real line, and a number m of machines, we study the problem of selecting a maximum weight subset of th...
Thomas Erlebach, Frits C. R. Spieksma
CADE
2008
Springer
14 years 9 months ago
Proving Bounds on Real-Valued Functions with Computations
Interval-based methods are commonly used for computing numerical bounds on expressions and proving inequalities on real numbers. Yet they are hardly used in proof assistants, as th...
Guillaume Melquiond
SAS
2007
Springer
14 years 3 months ago
Optimal Abstraction on Real-Valued Programs
abstraction on real-valued programs David Monniaux Laboratoire d’informatique de l’´Ecole normale sup´erieure 45, rue d’Ulm, 75230 Paris cedex 5, France June 30, 2007 In t...
David Monniaux