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To leave uncertainty behind you, enter the Bayesian network era
Advanced technology for unlimited applications
A bayesian network is a graphic probabilistic model through which one can acquire, capitalize on and exploit knowledge. Bayesian networks are the natural successors and heirs to symbolic, connectionist and statistical approaches to Artificial Intelligence and Data Mining. They combine the rigour of powerful and stable mathematic formalism and the effectiveness of a “distributed” representation of knowledge and the readability of rule-based models.
Particularly suited to taking uncertainty into consideration, they can as easily be described manually by experts in the field as they can be generated automatically through learning.
A bayesian network is used to represent knowledge from a system (technical, computer, economic, biological, sociological, etc.) or to find out this knowledge by analysing data (learning). Through the network one can then:
- Diagnose: one observes the effects observed and from this one aims to deduct the probability distribution on possible causes,
- Simulate (the system’s behaviour): this is the inverse path. The entry variables (causes) are provided to observe the resulting probability distribution on the effects,
- Analyze data,
- Make decisions,
- Control the system, etc.
In 2004, MIT (Massachusetts Institute of Technology) published the ranking of the ten top technologies likely to revolutionize the industrial world in the years to come. The use of bayesian networks, particularly by automatic learning, came in 4th position. Recognized by the computer giants as one of the conditions of their success in the next few decades, Bayesian networks are indispensable grounding for decisional solutions capable of answering modern challenges.
Bayesia et les réseaux bayésiens : une longueur d'avance
Leader du domaine, Bayesia a mis au point une technologie propriétaire tirant le meilleur parti des réseaux bayésiens. Grâce à une implication constante dans l'activité de recherche et développement (collaboration avec les laboratoires de recherche, développement de projets de recherche de grande envergure, équipe de chercheurs active et reconnue dans la communauté scientifique), Bayesia développe des solutions technologiques inédites assurant à ses progiciels des performances inégalées.
Ces progiciels sont en outre utilisés quotidiennement par les experts de Bayesia pour la réalisation d'études dans des domaines très variés. La conjontion de cette activité de services avec celle d'éditeur assure une adéquation sans égale de ces progiciels aux besoins du marché.