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PR
2002
85views more  PR 2002»
8 years 11 months ago
An incremental prototype set building technique
This paper deals with the task of "nding a set of prototypes from the training set. A reduced set is obtained which is used instead of the training set when nearest neighbour...
V. Susheela Devi, M. Narasimha Murty
NN
1998
Springer
156views Neural Networks» more  NN 1998»
8 years 11 months ago
Automatic early stopping using cross validation: quantifying the criteria
Cross validation can be used to detect when over tting starts during supervised training of a neural network; training is then stopped before convergence to avoid the overtting  ...
Lutz Prechelt
JCAL
2000
80views more  JCAL 2000»
8 years 11 months ago
An activity-based analysis of hands-on practice methods
The success of exploration-based training is likely to be strongly influenced by what activities the learner undertakes during training. This paper presents a study of the activiti...
Susan Wiedenbeck, J. A. Zavala, Jason Nawyn
ETS
2000
IEEE
113views Hardware» more  ETS 2000»
8 years 11 months ago
NetChat: Communication and Collaboration via WWW
Practice has shown that providing content to students alone is not sufficient for good learning results. In computer based training (CBT) and especially webbased training (WBT) en...
Reinhard Kreutz, Sven Kiesow, Klaus Spitzer
BMCBI
2005
108views more  BMCBI 2005»
8 years 11 months ago
A linear memory algorithm for Baum-Welch training
Background: Baum-Welch training is an expectation-maximisation algorithm for training the emission and transition probabilities of hidden Markov models in a fully automated way. I...
István Miklós, Irmtraud M. Meyer
PERVASIVE
2008
Springer
8 years 11 months ago
Cooperative Techniques Supporting Sensor-Based People-Centric Inferencing
Abstract. People-centric sensor-based applications targeting mobile device users offer enormous potential. However, learning inference models in this setting is hampered by the lac...
Nicholas D. Lane, Hong Lu, Shane B. Eisenman, Andr...
JMLR
2006
134views more  JMLR 2006»
8 years 12 months ago
Considering Cost Asymmetry in Learning Classifiers
Receiver Operating Characteristic (ROC) curves are a standard way to display the performance of a set of binary classifiers for all feasible ratios of the costs associated with fa...
Francis R. Bach, David Heckerman, Eric Horvitz
JMLR
2008
100views more  JMLR 2008»
8 years 12 months ago
Hit Miss Networks with Applications to Instance Selection
In supervised learning, a training set consisting of labeled instances is used by a learning algorithm for generating a model (classifier) that is subsequently employed for decidi...
Elena Marchiori
IPM
2008
196views more  IPM 2008»
8 years 12 months ago
Author identification: Using text sampling to handle the class imbalance problem
Authorship analysis of electronic texts assists digital forensics and anti-terror investigation. Author identification can be seen as a single-label multi-class text categorizatio...
Efstathios Stamatatos
CI
2007
99views more  CI 2007»
8 years 12 months ago
A Training Simulation System with Realistic Autonomous Ship Control
In this paper we present a computational approach to developing effective training systems for virtual simulation environments. In particular, we focus on a Naval simulation syste...
Monica N. Nicolescu, Ryan E. Leigh, Adam Olendersk...
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