Sciweavers

167 search results - page 21 / 34
» Adaptive Distributed Intrusion Detection Using Parametric Mo...
Sort
View
KDD
2004
ACM
196views Data Mining» more  KDD 2004»
16 years 4 days ago
Adversarial classification
Essentially all data mining algorithms assume that the datagenerating process is independent of the data miner's activities. However, in many domains, including spam detectio...
Nilesh N. Dalvi, Pedro Domingos, Mausam, Sumit K. ...
BMCBI
2008
173views more  BMCBI 2008»
14 years 12 months ago
Gene Vector Analysis (Geneva): A unified method to detect differentially-regulated gene sets and similar microarray experiments
Background: Microarray experiments measure changes in the expression of thousands of genes. The resulting lists of genes with changes in expression are then searched for biologica...
Stephen W. Tanner, Pankaj Agarwal
ML
2002
ACM
178views Machine Learning» more  ML 2002»
14 years 11 months ago
Metric-Based Methods for Adaptive Model Selection and Regularization
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
Dale Schuurmans, Finnegan Southey
GLOBECOM
2009
IEEE
15 years 3 months ago
Anomaly-Based Identification of Large-Scale Attacks
Abstract--Large-scale attacks like Distributed Denial-ofService (DDoS) attacks still pose unpredictable threats to the Internet infrastructure and Internet-based business. Thus, ma...
Thomas Gamer
SDM
2009
SIAM
202views Data Mining» more  SDM 2009»
15 years 9 months ago
Proximity-Based Anomaly Detection Using Sparse Structure Learning.
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe,...