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KDD
2004
ACM
126views Data Mining» more  KDD 2004»
16 years 2 days ago
Selection, combination, and evaluation of effective software sensors for detecting abnormal computer usage
We present and empirically analyze a machine-learning approach for detecting intrusions on individual computers. Our Winnowbased algorithm continually monitors user and system beh...
Jude W. Shavlik, Mark Shavlik
RTSS
2006
IEEE
15 years 5 months ago
LITMUS^RT : A Testbed for Empirically Comparing Real-Time Multiprocessor Schedulers
We present a real-time, Linux-based testbed called LITMUSRT , which we have developed for empirically evaluating multiprocessor real-time scheduling algorithms. We also present th...
John M. Calandrino, Hennadiy Leontyev, Aaron Block...
ACL
2010
14 years 9 months ago
Coreference Resolution with Reconcile
Despite the existence of several noun phrase coreference resolution data sets as well as several formal evaluations on the task, it remains frustratingly difficult to compare resu...
Veselin Stoyanov, Claire Cardie, Nathan Gilbert, E...
ICVS
2009
Springer
15 years 6 months ago
White-Box Evaluation of Computer Vision Algorithms through Explicit Decision-Making
Traditionally computer vision and pattern recognition algorithms are evaluated by measuring differences between final interpretations and ground truth. These black-box evaluations ...
Richard Zanibbi, Dorothea Blostein, James R. Cordy
IR
2002
14 years 11 months ago
An Empirical Analysis of Design Choices in Neighborhood-Based Collaborative Filtering Algorithms
Collaborative filtering systems predict a user's interest in new items based on the recommendations of other people with similar interests. Instead of performing content index...
Jonathan L. Herlocker, Joseph A. Konstan, John Rie...