Modeling the Example Life-Cycle in an Online Classification Learner

Gary R. Marrs; Ray J. Hickey; Michaela Black

Modeling the Example Life-Cycle in an Online Classification Learner

Gary R. Marrs
, Ray J. Hickey
, Michaela Black

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Abstract

An online classification system maintained by a learner can besubject to latency and filtering of training examples which can impact on itsclassification accuracy especially under concept drift. A life-cycle model isdeveloped to provide a framework for studying this problem. Meta dataemerges from this model which it is proposed can enhance online learningsystems. In particular, the definition of the time-stamp of an example, ascurrently used in the literature, is shown to be problematic and an alternative isproposed.

Original language	English
Title of host publication	Unknown Host Publication
Publisher	IEEE
Number of pages	8
Publication status	Published (in print/issue) - 24 Sept 2010
Event	HaCDAIS 2010: International Workshop on Handling Concept Drift in Adaptive Information Systems: Importance, Challenges and Solutions - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2010) Barcelona Duration: 24 Sept 2010 → …

Workshop

Workshop	HaCDAIS 2010: International Workshop on Handling Concept Drift in Adaptive Information Systems: Importance, Challenges and Solutions
Period	24/09/10 → …

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ECML 2010 - GaryFinal published version, 429 KB

Cite this

@inproceedings{f8f189195fb94daea071e15ace74f009,

title = "Modeling the Example Life-Cycle in an Online Classification Learner",

abstract = "An online classification system maintained by a learner can besubject to latency and filtering of training examples which can impact on itsclassification accuracy especially under concept drift. A life-cycle model isdeveloped to provide a framework for studying this problem. Meta dataemerges from this model which it is proposed can enhance online learningsystems. In particular, the definition of the time-stamp of an example, ascurrently used in the literature, is shown to be problematic and an alternative isproposed.",

author = "Marrs, \{Gary R.\} and Hickey, \{Ray J.\} and Michaela Black",

year = "2010",

month = sep,

day = "24",

language = "English",

booktitle = "Unknown Host Publication",

publisher = "IEEE",

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note = "HaCDAIS 2010: International Workshop on Handling Concept Drift in Adaptive Information Systems: Importance, Challenges and Solutions ; Conference date: 24-09-2010",

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T1 - Modeling the Example Life-Cycle in an Online Classification Learner

AU - Marrs, Gary R.

AU - Hickey, Ray J.

AU - Black, Michaela

PY - 2010/9/24

Y1 - 2010/9/24

N2 - An online classification system maintained by a learner can besubject to latency and filtering of training examples which can impact on itsclassification accuracy especially under concept drift. A life-cycle model isdeveloped to provide a framework for studying this problem. Meta dataemerges from this model which it is proposed can enhance online learningsystems. In particular, the definition of the time-stamp of an example, ascurrently used in the literature, is shown to be problematic and an alternative isproposed.

AB - An online classification system maintained by a learner can besubject to latency and filtering of training examples which can impact on itsclassification accuracy especially under concept drift. A life-cycle model isdeveloped to provide a framework for studying this problem. Meta dataemerges from this model which it is proposed can enhance online learningsystems. In particular, the definition of the time-stamp of an example, ascurrently used in the literature, is shown to be problematic and an alternative isproposed.

UR - http://wwwis.win.tue.nl/hacdais2010/paper5short.pdf

M3 - Conference contribution

BT - Unknown Host Publication

PB - IEEE

T2 - HaCDAIS 2010: International Workshop on Handling Concept Drift in Adaptive Information Systems: Importance, Challenges and Solutions

Y2 - 24 September 2010

ER -

Modeling the Example Life-Cycle in an Online Classification Learner

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Handling latency for online learning with concept drift

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Modeling the Example Life-Cycle in an Online Classification Learner

Abstract

Workshop

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Student theses

Handling latency for online learning with concept drift

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