Gerhard Widmer  Home/Search
Context Related
| ai.univie.ac.at/pa...efaitr9622.ps.Z ai.univie.ac.at/pa...faitr9622.ps.gz oefai.at/cgibin/g...faitr9622.ps.gz Cached: PS.gz PS PDF This document uses CoBlitz to cache paper downloads. If your firewall is blocking outgoing connections to port 3125, you can use these links to download local copies.
Image Update HelpPS.gz PS PDF From: ai.univie.ac.at...nline?year+1996 (more) From: ai.univie.ac.at/oe...reports1996 (Enter author homepages) |
Rate this article:      (best)Comment on this article |
Abstract: The article deals with the problem of learning incrementally (`on-line') in domains where the target concepts are context-dependent, so that changes in context can produce more or less radical changes in the associated concepts. In particular, we concentrate on a class of learning tasks where the domain provides explicit clues as to the current context (e.g., attributes with characteristic values). A general two-level learning model is presented that effectively adjusts to changing contexts by... (Update)
Context of citations to this paper: More
...models alone. Finally, some papers propose multilevel learning in order to learn user s interest that can possibly drift and recur [8, 17]. 2 Hierarchy of Beliefs An autonomous agent would obviously be interested in possessing an actual and adequate model of the actual...
...methods of retaining and then discarding examples of old concepts. One is to remove examples after a fixed period of time [1] 4] [9]. Another is to determine this period dynamically in response to changing performance [3] We have investigated learners that maintain...
Cited by: More
Active Learning with Multiple Views - Muslea (2002) (Correct)
Meta-Learning, Model Selection, and Example Selection in.. - Klinkenberg (2005) (Correct)
SPECTER: a User-Centered View on Ubiquitous Computing - Kleinbauer, Bauer, Jameson (Correct)
Similar documents (at the sentence level):
37.1%: Recognition and Exploitation of Contextual Clues via Incremental.. - Widmer (1996) (Correct)
Active bibliography (related documents): More All
0.8: The Management of Context-Sensitive Features: A Review of.. - Turney (1996) (Correct)
0.6: Extracting Hidden Context - Harries, Sammut, Horn (1998) (Correct)
0.4: Recycling Decision Trees in Numeric Domains - Kubat (Correct)
Similar documents based on text: More All
0.2: Machine Discoveries: A Few Simple, Robust Local Expression.. - Widmer (2001) (Correct)
0.2: In Search of the Horowitz Factor: Interim Report on a Musical.. - Widmer (2002) (Correct)
0.2: Discovering Simple Rules in Complex Data: - Meta-Learning Algorithm And (2001) (Correct)
Related documents from co-citation: More All
7: Learning in the presence of concept drift and hidden context - Widmer, Kubat - 1996
4: Programs for machine learning (context) - Quinlan - 1993
4: Beyond incremental processing: Tracking concept drift (context) - Schlimmer, Granger - 1986
BibTeX entry: (Update)
G. Widmer. Tracking Context Changes through Meta-Learning. 1996. http://citeseer.ist.psu.edu/widmer96tracking.html More
@article{ widmer97tracking,
author = "Gerhard Widmer",
title = "Tracking Context Changes through Meta-Learning",
journal = "Machine Learning",
volume = "27",
number = "3",
pages = "259-286",
year = "1997",
url = "citeseer.ist.psu.edu/widmer96tracking.html" }
Citations (may not include all citations):503 Instance-Based Learning Algorithms (context) - Aha, Kibler et al. - 1991
122 Experiences with a Learning Personal Assistant - Mitchell, Caruana et al. - 1994
69 UCI Repository of machine learning databases [http://www (context) - Merz, Murphy - 1996
47 Incremental Learning from Noisy Data (context) - Schlimmer, Granger - 1986
42 Learning One More Thing - Thrun, Mitchell - 1995
31 San Francisco (context) - the, Conference et al. - 1996
26 Beyond Incremental Processing: Tracking Concept Drift (context) - Schlimmer, Granger - 1986
17 Effective Learning in Dynamic Environments by Explicit Conte.. - Widmer, Kubat - 1993
17 How to Learn Imprecise Concepts: A Method Employing a Two-ti.. (context) - Michalski - 1987
16 Robust Classification with Context-Sensitive Features - Turney - 1993
14 Exploiting Context When Learning to Classify - Turney - 1993
14 Recognition and Exploitation of Contextual Clues via Increme.. - Widmer - 1996
12 Speaker Normalization and Adaptation Using Second-order Conn.. (context) - Watrous - 1993
9 Second Tier for Decision Trees - Kubat - 1996
9 Contextual Normalization Applied to Aircraft Gas Turbine Eng.. - Turney, Halasz - 1993
9 Robust Classifiers Without Robust Features (context) - Katz, Gately et al. - 1990
6 A Patient-adaptive Neural Network ECG Patient Monitoring Alg.. - Watrous, Towell - 1995
3 COBBIT - A Control Procedure for COBWEB in the Presence of C.. (context) - Computation, Kilander et al. - 1993
2 Learning Two-tiered Descriptions of Flexible Contexts: The P.. (context) - Bergadano, Matwin et al. - 1992
1 Combining Robustness and Flexibility in Learning Drifting Co.. (context) - Springer, Widmer - 1994
1 Learning in Context-Sensitive Domains (context) - Kubat, Widmer - 1996
The graph only includes citing articles where the year of publication is known.
Documents on the same site (http://www.ai.univie.ac.at/cgi-bin/tr-online?year+1996): More
Knowledge Representation in WERKL, an Architecture for.. - Herzog, Petta (Correct)
Context-Sensitive and Expectation-Guided Temporal.. - Miksch, Horn, al. (1996) (Correct)
Elements of an Epistemology of Embodied AI - Prem (1996) (Correct)
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC