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AAMAS
2004
Springer
14 years 11 months ago
Autonomous Agents that Learn to Better Coordinate
A fundamental difficulty faced by groups of agents that work together is how to efficiently coordinate their efforts. This coordination problem is both ubiquitous and challenging,...
Andrew Garland, Richard Alterman
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
16 years 12 days ago
Heterogeneous source consensus learning via decision propagation and negotiation
Nowadays, enormous amounts of data are continuously generated not only in massive scale, but also from different, sometimes conflicting, views. Therefore, it is important to conso...
Jing Gao, Wei Fan, Yizhou Sun, Jiawei Han
95
Voted
SIGMOD
2004
ACM
118views Database» more  SIGMOD 2004»
16 years 15 hour ago
Effective Use of Block-Level Sampling in Statistics Estimation
Block-level sampling is far more efficient than true uniform-random sampling over a large database, but prone to significant errors if used to create database statistics. In this ...
Surajit Chaudhuri, Gautam Das, Utkarsh Srivastava
KBSE
2008
IEEE
15 years 6 months ago
Becoming responsive to service usage and performance changes by applying service feedback metrics to software maintenance
Software vendors are unaware of how their software performs in the field. They do not know what parts of their software are used and appreciated most and have little knowledge ab...
Henk van der Schuur, Slinger Jansen, Sjaak Brinkke...
ICCV
2007
IEEE
15 years 6 months ago
Co-Tracking Using Semi-Supervised Support Vector Machines
This paper treats tracking as a foreground/background classification problem and proposes an online semisupervised learning framework. Initialized with a small number of labeled ...
Feng Tang, Shane Brennan, Qi Zhao, Hai Tao