bayesian in audio and video
Mike Lynch
AS Profile The key is a Bayesian statistics inference model, which uses pattern recognition to identify the context, meaning and relevance of a piece of unstructured information. After missing out last year, previous Agenda Setter... [07 Oct 2008]
SpamBayes: Effective Open-Source, Bayesian Based, email Classification System
White Paper This paper introduces the SpamBayes classification engine and outlines the most important features and techniques which contribute to its success. The importance of using the indeterminate 'Unsure' classification produced by the... [01 Oct 2008]
Econometric and Statistical Data Mining, Prediction and Policy-Making
White Paper Data relating to 18 industrialized countries over the years, taken from the IMF-IFS data base have been employed in estimation and forecasting tests of the models using fixed and time varying parameter models, Bayesian... [01 Oct 2008]
Adding Data Mining Support to SPARQL Via Statistical Relational Learning Methods
White Paper The approach is based on traditional SPARQL and statistical relational learning methods, such as Relational Probability Trees and Relational Bayesian Classifiers. Exploiting the complex structure of relational data... [01 Oct 2008]
Is Gaming the System State-or-Trait?: Educational Data Mining Through the Multi-Contextual Application of a Validated Behavioral Model
White Paper The paper uses the behavior model to predict each student's gaming frequency in a set of 35 tutor lessons, and then use linear models and the Bayesian Information Criterion to determine which class of explanations... [01 Oct 2008]
NetCube: A Scalable Tool for Fast Data Mining and Compression
White Paper The idea is to use Bayesian Networks, which can generate approximate counts for any query combination of attribute values and "Don't cares. A Bayesian network represents the underlying joint probability... [19 Sep 2008]
Using MDaemon AntiSpam for Spam Control
White Paper In addition, MDaemon fights incoming spam through the use of black listing, white listing, heuristic pattern matching, Bayesian filtering and content filtering, plus domain and address blocking. To help stop Unsolicited... [02 Sep 2008]
Using ROC Curve to Improve Evidence Rules for Diagnostic Scoring
White Paper Instead the candidate's performance is evaluated through a series of evidence rules that transform raw test/task outcomes into the observable outcome variables that are entered into the Bayesian network. [04 Aug 2008]
A Probabilistic Vehicle Diagnostic System Using Multiple Models
White Paper This is made possible by the use of a Bayesian network to process model residuals. A hybrid, dynamic Bayesian network is used to model the temporal behavior of the faults and determine fault probabilities. [04 Aug 2008]
Classification, Clustering and Application in Intrusion Detection System
White Paper This report discusses approaches based on classification techniques like naive bayesian classifiers, neural networks and WINNOW based algorithm. Classification and clustering techniques in data mining are useful for a... [10 Jul 2008]
CS424 Network Security: Bayesian Network Intrusion Detection (BNIDS)
White Paper It suggests a Bayesian system which would provide a solid mathematical foundation for simplifying a seemingly difficult and monstrous problem that today's NIDS fail to solve. Many Network Intrusion Detection Systems... [10 Jul 2008]
Analysis of Distributed Intrusion Detection Systems Using Bayesian Methods
White Paper The approach to this involves the application of Bayesian methods to data being gathered from distributed IDS. In computer and network security, standard approaches to intrusion detection and response attempt to detect... [09 Jul 2008]
Feature Deduction and Ensemble Design of Intrusion Detection Systems
White Paper This paper investigated the performance of two feature selection algorithms involving Bayesian Networks (BN) and Classification and Regression Trees CART) and an ensemble of BN and CART. Current Intrusion Detection... [09 Jul 2008]
A Bayesian Approach to Bandwidth Selection for Multivariate Kernel Regression With an Application to State-Price Density Estimation
White Paper This paper presents a Bayesian approach to bandwidth selection for multivariate kernel regression. Multivariate kernel regression is an important tool for investigating the relationship between a response and a set of... [08 Jul 2008]
Bayesian Event Classification for Intrusion Detection
White Paper Intrusion Detection Systems (IDSs) attempt to identify attacks by comparing collected data to predefined signatures known to be malicious (misuse-based IDSs) or to a model of legal behavior (anomaly-based IDSs). [19 Jun 2008]
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