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» Learning to generalize for complex selection tasks
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ICRA
2003
IEEE
165views Robotics» more  ICRA 2003»
14 years 2 months ago
Multi-robot task-allocation through vacancy chains
Existing task allocation algorithms generally do not consider the effects of task interaction, such as interference, but instead assume that tasks are independent. That assumptio...
Torbjørn S. Dahl, Maja J. Mataric, Gaurav S...
HIS
2004
13 years 10 months ago
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
ICDT
2007
ACM
97views Database» more  ICDT 2007»
14 years 3 months ago
Combining Temporal Logics for Querying XML Documents
Close relationships between XML navigation and temporal logics have been discovered recently, in particular between logics LTL and CTL⋆ and XPath navigation, and between the µ-c...
Marcelo Arenas, Pablo Barceló, Leonid Libki...
AAAI
2010
13 years 10 months ago
Collaborative Expert Portfolio Management
We consider the task of assigning experts from a portfolio of specialists in order to solve a set of tasks. We apply a Bayesian model which combines collaborative filtering with a...
David H. Stern, Horst Samulowitz, Ralf Herbrich, T...
BMCBI
2010
224views more  BMCBI 2010»
13 years 9 months ago
An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
Susmita Datta, Vasyl Pihur, Somnath Datta