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» Extracting Web Data Using Instance-Based Learning
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ICML
1998
IEEE
16 years 3 months ago
An Efficient Boosting Algorithm for Combining Preferences
We study the problem of learning to accurately rank a set of objects by combining a given collection of ranking or preference functions. This problem of combining preferences aris...
Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yora...
AAAI
2006
15 years 3 months ago
Comparative Experiments on Sentiment Classification for Online Product Reviews
Evaluating text fragments for positive and negative subjective expressions and their strength can be important in applications such as single- or multi- document summarization, do...
Hang Cui, Vibhu O. Mittal, Mayur Datar
KBS
2007
86views more  KBS 2007»
15 years 2 months ago
Automatic species identification of live moths
A collection consisting of the images of 774 live moth individuals, each moth belonging to one of 35 different UK species, was analysed to determine if data mining techniques could...
Michael Mayo, Anna T. Watson
120
Voted
IMC
2010
ACM
15 years 10 days ago
Temporally oblivious anomaly detection on large networks using functional peers
Previous methods of network anomaly detection have focused on defining a temporal model of what is "normal," and flagging the "abnormal" activity that does not...
Kevin M. Carter, Richard Lippmann, Stephen W. Boye...
IADIS
2003
15 years 3 months ago
Adaptive Web Service for QOS Improvement
In this paper we investigate how “self-awareness'', through on-line self-monitoring and measurement, coupled with intelligent adaptive behaviour in response to observe...
Erol Gelenbe, Arturo Núñez