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IJMMS
2007
145views more  IJMMS 2007»
13 years 8 months ago
Automatic prediction of frustration
Predicting when a person might be frustrated can provide an intelligent system with important information about when to initiate interaction. For example, an automated Learning Co...
Ashish Kapoor, Winslow Burleson, Rosalind W. Picar...
ICRA
2010
IEEE
158views Robotics» more  ICRA 2010»
13 years 7 months ago
Coping with imbalanced training data for improved terrain prediction in autonomous outdoor robot navigation
Abstract— Autonomous robot navigation in unstructured outdoor environments is a challenging and largely unsolved area of active research. The navigation task requires identifying...
Michael J. Procopio, Jane Mulligan, Gregory Z. Gru...
SIGECOM
2010
ACM
174views ECommerce» more  SIGECOM 2010»
13 years 7 months ago
Aggregation and manipulation in prediction markets: effects of trading mechanism and information distribution
We conduct laboratory experiments on variants of market scoring rule prediction markets, under different information distribution patterns, in order to evaluate the efficiency an...
Lian Jian, Rahul Sami
IEEEPACT
2000
IEEE
14 years 1 months ago
Dynamic Branch Prediction for a VLIW Processor
This paper describes the design of a dynamic branchpredictorfor a VLIW processor. The developed branch predictor predicts the direction of a branch, i.e., taken or not taken, and ...
Jan Hoogerbrugge
BMCBI
2010
113views more  BMCBI 2010»
13 years 9 months ago
Class prediction for high-dimensional class-imbalanced data
Background: The goal of class prediction studies is to develop rules to accurately predict the class membership of new samples. The rules are derived using the values of the varia...
Rok Blagus, Lara Lusa