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EDBT
2010
ACM
151views Database» more  EDBT 2010»
14 years 23 days ago
Warm cache costing: a feedback optimization technique for buffer pool aware costing
Most modern RDBMS depend on the query processing optimizer’s cost model to choose the best execution plan for a given query. Since the physical IO (PIO) is a costly operation to...
H. S. Ramanujam, Edwin Seputis
KDD
2006
ACM
155views Data Mining» more  KDD 2006»
14 years 8 months ago
Single-pass online learning: performance, voting schemes and online feature selection
To learn concepts over massive data streams, it is essential to design inference and learning methods that operate in real time with limited memory. Online learning methods such a...
Vitor R. Carvalho, William W. Cohen
ICML
1999
IEEE
13 years 12 months ago
Learning Hierarchical Performance Knowledge by Observation
Developing automated agents that intelligently perform complex real world tasks is time consuming and expensive. The most expensive part of developing these intelligent task perfo...
Michael van Lent, John E. Laird
VIS
2009
IEEE
399views Visualization» more  VIS 2009»
14 years 8 months ago
Visual Human+Machine Learning
In this paper we describe a novel method to integrate interactive visual analysis and machine learning to support the insight generation of the user. The suggested approach combine...
Raphael Fuchs, Jürgen Waser, Meister Eduard GrÃ...
GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
14 years 7 days ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...