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» Using Classifiers to Solve Warehouse Location Problems
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SSDBM
2003
IEEE
96views Database» more  SSDBM 2003»
14 years 4 months ago
Space Constrained Selection Problems for Data Warehouses and Pervasive Computing
Space constrained optimization problems arise in a multitude of important applications such as data warehouses and pervasive computing. A typical instance of such problems is to s...
Themistoklis Palpanas, Nick Koudas, Alberto O. Men...
ICPADS
2005
IEEE
14 years 4 months ago
A Model for Distributing and Querying a Data Warehouse on a Computing Grid
Data warehouses store large volumes of data according to a multidimensional model with dimensions representing different axes of analysis. OLAP systems (OnLine Analytical Processi...
Pascal Wehrle, Maryvonne Miquel, Anne Tchounikine
ICML
2000
IEEE
14 years 11 months ago
Solving the Multiple-Instance Problem: A Lazy Learning Approach
As opposed to traditional supervised learning, multiple-instance learning concerns the problem of classifying a bag of instances, given bags that are labeled by a teacher as being...
Jun Wang, Jean-Daniel Zucker
ITS
2010
Springer
163views Multimedia» more  ITS 2010»
14 years 3 months ago
Using Problem-Solving Context to Assess Help Quality in Computer-Mediated Peer Tutoring
Collaborative activities, like peer tutoring, can be beneficial for student learning, but only when students are supported in interacting effectively. Constructing intelligent tuto...
Erin Walker, Sean Walker, Nikol Rummel, Kenneth R....
ICIP
2006
IEEE
15 years 15 days ago
Knowledge-Based Supervised Learning Methods in a Classical Problem of Video Object Tracking
In this paper we present a new scheme for detection and tracking of specific objects in a knowledge-based framework. The scheme uses a supervised learning method: Support Vector M...
Lionel Carminati, Jenny Benois-Pineau, Christian J...