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CASES
2003
ACM
15 years 11 months ago
Encryption overhead in embedded systems and sensor network nodes: modeling and analysis
Recent research in sensor networks has raised issues of security for small embedded devices. Security concerns are motivated by the deployment of a large number of sensory devices...
Ramnath Venugopalan, Prasanth Ganesan, Pushkin Ped...
BMCBI
2006
110views more  BMCBI 2006»
15 years 6 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
NSDI
2008
15 years 8 months ago
DieCast: Testing Distributed Systems with an Accurate Scale Model
Large-scale network services can consist of tens of thousands of machines running thousands of unique software configurations spread across hundreds of physical networks. Testing ...
Diwaker Gupta, Kashi Venkatesh Vishwanath, Amin Va...
JMLR
2008
230views more  JMLR 2008»
15 years 6 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
KDD
2008
ACM
132views Data Mining» more  KDD 2008»
16 years 7 months ago
Partitioned logistic regression for spam filtering
Naive Bayes and logistic regression perform well in different regimes. While the former is a very simple generative model which is efficient to train and performs well empirically...
Ming-wei Chang, Wen-tau Yih, Christopher Meek