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» The Diffusion Decision Model: Theory and Data for Two-Choice...
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SDM
2007
SIAM
131views Data Mining» more  SDM 2007»
13 years 6 months ago
Load Shedding in Classifying Multi-Source Streaming Data: A Bayes Risk Approach
In many applications, we monitor data obtained from multiple streaming sources for collective decision making. The task presents several challenges. First, data in sensor networks...
Yijian Bai, Haixun Wang, Carlo Zaniolo
GRC
2008
IEEE
13 years 6 months ago
Fuzzy Preference Relation Rough Sets
Preference analysis is a class of important tasks in multi-criteria decision making. The classical rough set theory was generalized to deal with preference analysis by replacing e...
Qinghua Hu, Daren Yu, Congxin Wu
ATAL
2007
Springer
13 years 11 months ago
A framework for agent-based distributed machine learning and data mining
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek
HICSS
2008
IEEE
150views Biometrics» more  HICSS 2008»
13 years 11 months ago
Quantitative Early-Phase User Research Methods: Hard Data for Initial Product Design
We describe questions that commonly arise in early-phase user research for new technology products concerning customer needs, priorities, and market definition. We suggest that me...
Christopher N. Chapman, Edwin Love, James L. Alfor...
FSS
2008
110views more  FSS 2008»
13 years 5 months ago
Learning valued preference structures for solving classification problems
This paper introduces a new approach to classification which combines pairwise decomposition techniques with ideas and tools from fuzzy preference modeling. More specifically, our...
Eyke Hüllermeier, Klaus Brinker