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IJCNN
2000
IEEE
9 years 4 months ago
The Inefficiency of Batch Training for Large Training Sets
Multilayer perceptrons are often trained using error backpropagation (BP). BP training can be done in either a batch or continuous manner. Claims have frequently been made that bat...
D. Randall Wilson, Tony R. Martinez
VRST
2009
ACM
9 years 4 months ago
Crime scene robot and sensor simulation
Virtual reality has been proposed as a training regime for a large number of tasks from surgery rehearsal (cf. [Robb et al. 1996], to combat simulation (cf. [U. S. Congress, Offi...
Robert Codd-Downey, Michael Jenkin
SIGUCCS
2003
ACM
9 years 5 months ago
Training program growth...: from flat line to pulsating
IT Training and Communications is a division of Information Technology Services (ITS), which provides computer application training for the faculty and staff at Saint Louis Univer...
Sue A. Moore
SIGUCCS
2003
ACM
9 years 5 months ago
What's old is new again: training is the information technology constant
This paper is an account of some of the more instructive experiences we gained as we sought to ensure that our information technology training programs kept pace with a fast chang...
George Bradford
SIGUCCS
2003
ACM
9 years 5 months ago
Instructional support at small universities: a training perspective
This paper intends to present the challenges and opportunities encountered in technology training at small institutions using Trinity University as a case in point. During the cou...
Vidya Ananthanarayanan, Judith Reiffert
SIGIR
2004
ACM
9 years 5 months ago
Resource selection for domain-specific cross-lingual IR
An under-explored question in cross-language information retrieval (CLIR) is to what degree the performance of CLIR methods depends on the availability of high-quality translation...
Monica Rogati, Yiming Yang
ICNC
2005
Springer
9 years 5 months ago
Training Data Selection for Support Vector Machines
Abstract. In recent years, support vector machines (SVMs) have become a popular tool for pattern recognition and machine learning. Training a SVM involves solving a constrained qua...
Jigang Wang, Predrag Neskovic, Leon N. Cooper
WACV
2005
IEEE
9 years 5 months ago
Semi-Supervised Self-Training of Object Detection Models
The construction of appearance-based object detection systems is time-consuming and difficult because a large number of training examples must be collected and manually labeled i...
Chuck Rosenberg, Martial Hebert, Henry Schneiderma...
MOBIQUITOUS
2007
IEEE
9 years 6 months ago
A Ubiquitous Context-Aware Environment for Surgical Training
— The age of technology has changed the way that surgeons are being trained. Traditional methodologies for training can include lecturing, shadowing, apprenticing, and developing...
Patricia Ordonez, Palanivel Balaji Kodeswaran, Vla...
ICC
2008
IEEE
161views Communications» more  ICC 2008»
9 years 6 months ago
Channel Estimation and Adaptive M-QAM in Cognitive Radio Links
—Cognitive radios have the ability to sense their RF environment and adapt their transmission parameters to perform optimally in any situation. Part of this involves selecting th...
Alkan Soysal, Sennur Ulukus, T. Charles Clancy
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