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SDM
2008
SIAM
130views Data Mining» more  SDM 2008»
15 years 7 months ago
Mining Sequence Classifiers for Early Prediction
Supervised learning on sequence data, also known as sequence classification, has been well recognized as an important data mining task with many significant applications. Since te...
Zhengzheng Xing, Jian Pei, Guozhu Dong, Philip S. ...
218
Voted
MLMTA
2003
15 years 7 months ago
Using a Two-Layered Case-Based Reasoning for Prediction in Soccer Coach
Abstract— The prediction of the future states in MultiAgent Systems has been a challenging problem since the begining of MAS. Robotic soccer is a MAS environment in which the pre...
Mazda Ahmadi, Abolfazl Keighobadi Lamjiri, Mayssam...
187
Voted
SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
15 years 7 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar
KRDB
1998
93views Database» more  KRDB 1998»
15 years 7 months ago
Intelligent Caching for Information Mediators: A KR Based Approach
We present a semantic caching approach for optimizing the performance of information mediators. A critical problem with information mediators, particularly those gathering and int...
Naveen Ashish, Craig A. Knoblock, Cyrus Shahabi
NIPS
2000
15 years 7 months ago
The Use of MDL to Select among Computational Models of Cognition
How should we decide among competing explanations of a cognitive process given limited observations? The problem of model selection is at the heart of progress in cognitive scienc...
In Jae Myung, Mark A. Pitt, Shaobo Zhang, Vijay Ba...