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157
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KDD
2004
ACM
126views Data Mining» more  KDD 2004»
16 years 4 months 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
SIGMOD
2009
ACM
201views Database» more  SIGMOD 2009»
16 years 4 months ago
Cost based plan selection for xpath
We present a complete XPath cost-based optimization and execution framework and demonstrate its effectiveness and efficiency for a variety of queries and datasets. The framework i...
Haris Georgiadis, Minas Charalambides, Vasilis Vas...
IMC
2006
ACM
15 years 10 months ago
The need for cross-layer information in access point selection algorithms
The low price of commodity wireless LAN cards and access points (APs) has resulted in the rich proliferation of high density WLANs in enterprise, academic environments, and public ...
Karthikeyan Sundaresan, Konstantina Papagiannaki
ISCA
2003
IEEE
150views Hardware» more  ISCA 2003»
15 years 9 months ago
Cyclone: A Broadcast-Free Dynamic Instruction Scheduler with Selective Replay
To achieve high instruction throughput, instruction schedulers must be capable of producing high-quality schedules that maximize functional unit utilization while at the same time...
Dan Ernst, Andrew Hamel, Todd M. Austin
129
Voted
BMCBI
2006
110views more  BMCBI 2006»
15 years 4 months ago
Bias in error estimation when using cross-validation for model selection
Background: Cross-validation (CV) is an effective method for estimating the prediction error of a classifier. Some recent articles have proposed methods for optimizing classifiers...
Sudhir Varma, Richard Simon