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Abstract: A model for on-site learning is presented. The system learns by querying "hard" patterns while classifying "easy" ones. This model is related to query-based filtering methods, but takes into account that in addition to labelling, filtering through the data has a cost. A few simple policies are introduced and analyzed for a simple problem (1D high low game). In addition the Query-by-Committee algorithm (Seung et. al) is suggested as a good approximator of the model space for real-world domains.... (Update)
Context of citations to this paper: More
.... be selected from the input stream if their information content exceeds a threshold (Seung, Opper, Sompolinsky 1992; Freund et al. 1993; Matan 1995). Alternatively, they may be selected randomly, with some probability proportional to information content, as we do in this...
...the learner knows , it makes sense to use query filtering during the performance task. This results in the following on site model (Matan 1995) that considers the loss associated with classifying or querying and must enforce a policy to minimize the total loss. The system...
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BibTeX entry: (Update)
Matan, O. 1995. On-site learning. Submitted for publication. http://citeseer.ist.psu.edu/matan95site.html More
@misc{ matan95site,
author = "O. Matan",
title = "site learning",
text = "Matan, O. 1995. On-site learning. Submitted for publication.",
year = "1995",
url = "citeseer.ist.psu.edu/matan95site.html" }
Citations (may not include all citations):441 Queries and concept learning (context) - Angluin - 1988
317 Learning quickly when irrelevant attributes abound: A new li.. (context) - Littlestone - 1988
217 Artificial Intelligence (context) - Rich, Knight - 1991
131 When networks disagree: Ensemble methods for hybrid neural n.. - Perrone, Cooper - 1993
107 norms : NN pattern classification techniques (context) - Dasarathy, neighbor - 1991
102 Neural network ensembles (context) - Hansen, Salamon - 1990
83 Query by committee - Seung, Opper et al. - 1992
43 Neural net algorithms that learn in polynomial time from exa.. (context) - Baum - 1991
39 Training connectionist networks with queries and selective s.. (context) - Cohen, Atlas et al. - 1990
29 Measuring the vcdimension of a learning machine - Vapnik, Levin et al. - 1994
21 Generalization performance of bayes optimal classification a.. (context) - Opper, Haussler - 1991
20 and query by committee (context) - Freund, Seung et al. - 1993
18 Handwritten zip code recognition with multilayer networks (context) - Le Cun, Matan et al. - 1990
2 Handwritten character recognition using neural network archi.. - Matan, Kiang et al. - 1990
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