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» A clustering method that uses lossy aggregation of data
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ICDM
2007
IEEE
136views Data Mining» more  ICDM 2007»
15 years 7 months ago
Dynamic Micro Targeting: Fitness-Based Approach to Predicting Individual Preferences
It is crucial to segment customers intelligently in order to offer more targeted and personalized products and services. Traditionally, customer segmentation is achieved using sta...
Tianyi Jiang, Alexander Tuzhilin
131
Voted
TSP
2008
167views more  TSP 2008»
14 years 11 months ago
Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
Kai Ni, John William Paisley, Lawrence Carin, Davi...
109
Voted
JFR
2006
88views more  JFR 2006»
15 years 18 days ago
Discovering natural kinds of robot sensory experiences in unstructured environments
We derive categories directly from robot sensor data to address the symbol grounding problem. Unlike model-based approaches where human intuitive correspondences are sought betwee...
Daniel H. Grollman, Odest Chadwicke Jenkins, Frank...
116
Voted
HICSS
2006
IEEE
133views Biometrics» more  HICSS 2006»
15 years 6 months ago
Being Literate with Large Document Collections: Observational Studies and Cost Structure Tradeoffs
How do people work with large document collections? We studied the effects of different kinds of analysis tools on the behavior of people doing rapid large-volume data assessment,...
Daniel M. Russell, Malcolm Slaney, Yan Qu, Mave Ho...
118
Voted
CCGRID
2007
IEEE
15 years 7 months ago
Analysis and Synthesis of Pseudo-Periodic Job Arrivals in Grids: A Matching Pursuit Approach
Pseudo-periodicity is one of the basic job arrival patterns on data-intensive clusters and Grids. In this paper, a signal decomposition methodology called matching pursuit is appl...
Hui Li, Richard Heusdens, Michael Muskulus, Lex Wo...