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JAIR
2010
181views more  JAIR 2010»
13 years 3 months ago
Intrusion Detection using Continuous Time Bayesian Networks
Intrusion detection systems (IDSs) fall into two high-level categories: network-based systems (NIDS) that monitor network behaviors, and host-based systems (HIDS) that monitor sys...
Jing Xu, Christian R. Shelton
TREC
2003
13 years 10 months ago
Passage Scoring for Question Answering via Bayesian Inference on Lexical Relations
Many researchers have used lexical networks and ontologies to mitigate synonymy and polysemy problems in Question Answering (QA), systems coupled with taggers, query classifiers,...
Deepa Paranjpe, Ganesh Ramakrishnan, Sumana Sriniv...
E2EMON
2006
IEEE
14 years 2 months ago
Tuning the Temporal Characteristics of a Kalman-Filter Method for End-to-End Bandwidth Estimation
—In this paper we present a way of tuning the temporal characteristics of a new available-bandwidth estimation method, BART. The estimation engine in this method is Kalman-filter...
Erik Hartikainen, Svante Ekelin
ICML
2008
IEEE
14 years 9 months ago
Laplace maximum margin Markov networks
We propose Laplace max-margin Markov networks (LapM3 N), and a general class of Bayesian M3 N (BM3 N) of which the LapM3 N is a special case with sparse structural bias, for robus...
Jun Zhu, Eric P. Xing, Bo Zhang
HYBRID
2000
Springer
14 years 6 days ago
A Dynamic Bayesian Network Approach to Tracking Using Learned Switching Dynamic Models
Abstract. Switching linear dynamic systems (SLDS) attempt to describe a complex nonlinear dynamic system with a succession of linear models indexed by a switching variable. Unfortu...
Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham