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IJCNN
2000
IEEE
14 years 17 hour ago
Sensitivity Analysis for Conic Section Function Neural Networks
Sensitivity analysis is a method for extracting the cause and effect relationship between the inputs and outputs of the network. After training a neural network, one may want to k...
Lale Özyilmaz, Tülay Yildirim
IROS
2007
IEEE
158views Robotics» more  IROS 2007»
14 years 1 months ago
Feature selection in conditional random fields for activity recognition
Abstract— Temporal classification, such as activity recognition, is a key component for creating intelligent robot systems. In the case of robots, classification algorithms mus...
Douglas L. Vail, John D. Lafferty, Manuela M. Velo...
ICPR
2010
IEEE
14 years 29 days ago
Motif Discovery and Feature Selection for CRF-Based Activity Recognition
Abstract—Due to their ability to model sequential data without making unnecessary independence assumptions, conditional random fields (CRFs) have become an increasingly popular ...
Liyue Zhao, Xi Wang, Gita Sukthankar
ITS
2000
Springer
93views Multimedia» more  ITS 2000»
13 years 11 months ago
Training Teams with Collaborative Agents
Training teams is an activity that is expensive, time-consuming, hazardous in some cases, and can be limited by availability of equipment and personnel. In team training, the focus...
Michael S. Miller, Jianwen Yin, Richard A. Volz, T...
AGENTS
2000
Springer
13 years 12 months ago
A knowledge-based approach for designing intelligent team training systems
This paper presents a knowledge approach to designing team training systems using intelligent agents. We envision a computer-based training system in which teams are trained by pu...
Jianwen Yin, Michael S. Miller, Thomas R. Ioerger,...