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  2. OpenBUGS - Wikipedia

    en.wikipedia.org/wiki/OpenBUGS

    OpenBUGS is the open source variant of WinBUGS (Bayesian inference Using Gibbs Sampling). It runs under Microsoft Windows and Linux , as well as from inside the R statistical package . Versions from v3.0.7 onwards have been designed to be at least as efficient and reliable as WinBUGS over a range of test applications.

  3. Infer.NET - Wikipedia

    en.wikipedia.org/wiki/Infer.NET

    Infer.NET follows a model-based approach and is used to solve different kinds of machine learning problems including standard problems like classification, recommendation or clustering, customized solutions and domain-specific problems.

  4. Inference engine - Wikipedia

    en.wikipedia.org/wiki/Inference_engine

    In the field of artificial intelligence, an inference engine is a software component of an intelligent system that applies logical rules to the knowledge base to deduce new information. The first inference engines were components of expert systems. The typical expert system consisted of a knowledge base and an inference engine.

  5. Question answering - Wikipedia

    en.wikipedia.org/wiki/Question_answering

    Question answering systems in the context of [vague] machine reading applications have also been constructed in the medical domain, for instance related to [vague] Alzheimer's disease. [3] Open-domain question answering deals with questions about nearly anything and can only rely on general ontologies and world knowledge. Systems designed for ...

  6. Semantic reasoner - Wikipedia

    en.wikipedia.org/wiki/Semantic_reasoner

    DIP, Defeasible-Inference Platform (DIP) is an Web Ontology Language reasoner and Protégé desktop plugin for representing and reasoning with defeasible subsumption. [3] It implements a Preferential entailment style of reasoning that reduces to "classical entailment" i.e., without the need to modify the underlying decision procedure.

  7. Backward chaining - Wikipedia

    en.wikipedia.org/wiki/Backward_chaining

    Because the list of goals determines which rules are selected and used, this method is called goal-driven, in contrast to data-driven forward-chaining inference. The backward chaining approach is often employed by expert systems. Programming languages such as Prolog, Knowledge Machine and ECLiPSe support backward chaining within their inference ...

  8. List of performance analysis tools - Wikipedia

    en.wikipedia.org/wiki/List_of_performance...

    Linux, Windows, macOS, Android Dynamic binary instrumentation system that allows users to create custom program analysis tools. Proprietary but free for non-commercial use Rational PurifyPlus: AIX, Linux, Solaris, Windows Performance profiling tool, memory debugger and code coverage tool. Proprietary Scalasca: Linux C/C++, Fortran Parallel ...

  9. Automated theorem proving - Wikipedia

    en.wikipedia.org/wiki/Automated_theorem_proving

    [10] [11] However, these successes are sporadic, and work on hard problems usually requires a proficient user. Another distinction is sometimes drawn between theorem proving and other techniques, where a process is considered to be theorem proving if it consists of a traditional proof, starting with axioms and producing new inference steps ...