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AgenaRisk

AgenaRisk Review Experience Agenarisk Bayesian

Bayesian network, simulation and risk analysis software. Supports exact and approximate inference in hybrid and dynamic networks for decision support, diagnosis, statistical learning and prediction applications.

Bayesian Network and Simulation Software for Risk Analysis and Decision Support


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Best entries for Agenarisk and Bayesian

1 AgenaRisk Bayesian network
Bayesian network, simulation and risk analysis software. Supports exact and approximate inference in hybrid and dynamic networks for decision support, diagnosis, statistical learning and prediction applications.
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2 AgenaRisk Software and
Software and consulting in Bayesian networks, simulation and risk analysis. Causal modeling, data analysis and statistical modeling for AI, financial risk, six-sigma and project risk applications.
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3 BayesiaLab Bayesian network
Bayesian network laboratory producing a broad set of tools for structure learning, analysis, adaptive questionnaires, and dynamic Bayesian networks
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4 Bayesian Knowledge Discoverer Able to
Able to learn Bayesian Belief Networks from (possibly incomplete) databases. Algorithm based on the Bound and Collapse estimation method.
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5 Hugin Expert Expert system
Expert system software house in construction and execution of Bayesian Belief Networks (also known as Bayesian Networks, Belief Networks, or Causal Probabilistic Networks).
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6 Hugin Expert Expert system
Expert system software house in construction and execution of Bayesian Belief Networks (also known as Bayesian Networks, Belief Networks, or Causal Probabilistic Networks).
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7 Implement Bayesian Inference Using PHP Conditional probability
Conditional probability -- the probability of observing one event as a result of having observed another event -- is a potentially important factor in designing intelligent Web applications. Paul Meagher introduces Bayesian inference by discussing the basic mathematical concepts involved and demonstrating how to implement the underlying conditional probability calculations using PHP.
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8 Spamihilator Filter that
Filter that works with any POP3 client. Uses Bayesian filtering.
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9 Inboxer Filter for
Filter for Outlook which uses Bayesian analysis to detect Spam.
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10 Spacejock yMail A client
A client with bayesian spam filtering. [Win32]
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11 Ergo A Bayesian
A Bayesian network editor and solver. [Windows/Macintosh]
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12 Neuromat Model Manager
Model Manager for development of bayesian neural networks.
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13 Minka, Thomas P. Machine learning
Machine learning, computer vision, Bayesian methods.
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14 NIPS Workshop on Learning in bayesian networks and other Graphical Models 1995.
1995.
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15 SpamSieve Adds Bayesian
Adds Bayesian spam filtering to popular e-mail clients. Requires Mac OS X 10.2 or later (10.3.5 or later recommended).
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16 BayesiaLab Bayesian network
Bayesian network laboratory including a set of data mining and machine learning tools.
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17 Tipping, Mike Bayesian learning
Bayesian learning, relevance vector machine, probabilistic principal component analysis.
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18 Emailprofessor.com Advanced spam
Advanced spam filtering for Exchange featuring bayesian filters, reverse address verification, word, phrases, ip blocking.
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19 Junk-Out Bayesian junk
Bayesian junk mail filtering integrated directly into Microsoft Outlook.
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20 XML Belief Network File Format Proposed XML
Proposed XML standard for describing Bayesian belief networks.
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21 The Office Maven Junk-Out is
Junk-Out is a Bayesian junk mail filtering tool that integrates into MS Outlook.
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22 SpamWeed Bayesian spam
Bayesian spam filter for Outlook Express, Outlook and all POP3 clients. Available for Windows 98/ME/NT/2000/XP.
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23 Outlook Spam Filter Uses Bayesian
Uses Bayesian algorithm, friends lists and customizable keywords to filter your e-mail.
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24 Spamlook 2003 Bayesian spam
Bayesian spam filter specifically for POP3 accounts and Microsoft Outlook 2000/2002/2003.
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25 CleverSet, Inc. Develops and
Develops and exploits proprietary Relational Bayesian Modeling (RBM) technology and applications that provide real-time, actionable results from large amounts of dynamic, multi-faceted, ambiguous information.
26 CleverSet, Inc. Develops and
Develops and exploits proprietary Relational Bayesian Modeling (RBM) technology and applications that provide real-time, actionable results from large amounts of dynamic, multi-faceted, ambiguous information.
27 Stashsoft Spam Xecutioner for Exchange Stop spam
Stop spam before it gets to your inbox or Exchange Server. Uses a variety of technologies such as bayesian, rule, RBL, harvesting filters and more.
28 Artificial Intelligence and Statistics (AISTATS) 2003 Conference
2003 Conference, January 3-6, Key West, Florida, USA. Looks at the interface between artificial intelligence and statistical methods, especially Bayesian approaches. Submission deadline 9 August 2002.
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29 Norsys Software Corp. Netica is
Netica is a complete program for working with belief networks and influence diagrams. Feature compiles belief (Bayesian) networks into a junction tree of cliques for fast probabilistic reasoning.
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30 DecsionQ Bayesian Predictive Analysis Software A data
A data mining software company that has a fully automated data modeling and predictive analytics package.
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31 SpamAid SpamAid is
SpamAid is an add-on for Microsoft Outlook 2000/XP/2003. It operates under Microsoft Windows 98/ME/NT/2000/XP. Uses Bayesian filtering, friends and enemies lists, and can evaluate if outgoing messages will be treated as spam.
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32 Graham, Paul Well known
Well known essayist, programmer, language designer, co-founded Viaweb, invented Bayesian spam filters (basis of modern filters): many essays, books (On Lisp, ANSI Common Lisp, Hackers & Painters), Lisp information, FAQs.
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More AgenaRisk Infos

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