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KDD
2004
ACM
166views Data Mining» more  KDD 2004»
16 years 5 months ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi
TKDE
2012
487views Formal Methods» more  TKDE 2012»
13 years 7 months ago
Query Planning for Continuous Aggregation Queries over a Network of Data Aggregators
—Continuous queries are used to monitor changes to time varying data and to provide results useful for online decision making. Typically a user desires to obtain the value of som...
Rajeev Gupta, Krithi Ramamritham
DAC
2002
ACM
16 years 6 months ago
A flexible accelerator for layer 7 networking applications
In this paper, we present a flexible accelerator designed for networking applications. The accelerator can be utilized efficiently by a variety of Network Processor designs. Most ...
Gokhan Memik, William H. Mangione-Smith
GECCO
2005
Springer
220views Optimization» more  GECCO 2005»
15 years 10 months ago
Scale invariant pareto optimality: a meta--formalism for characterizing and modeling cooperativity in evolutionary systems
This article describes a mathematical framework for characterizing cooperativity in complex systems subject to evolutionary pressures. This framework uses three foundational compo...
Mark Fleischer
COCOA
2010
Springer
15 years 3 months ago
Time Optimal Algorithms for Black Hole Search in Rings
In a network environments supporting mobile entities (called robots or agents), a black hole is harmful site that destroys any incoming entity without leaving any visible trace. Th...
Balasingham Balamohan, Paola Flocchini, Ali Miri, ...