0000000000267490

AUTHOR

Ugis Sarkans

0000-0001-9227-8488

showing 4 related works from this author

PASSIM – an open source software system for managing information in biomedical studies

2007

Abstract Background One of the crucial aspects of day-to-day laboratory information management is collection, storage and retrieval of information about research subjects and biomedical samples. An efficient link between sample data and experiment results is absolutely imperative for a successful outcome of a biomedical study. Currently available software solutions are largely limited to large-scale, expensive commercial Laboratory Information Management Systems (LIMS). Acquiring such LIMS indeed can bring laboratory information management to a higher level, but often implies sufficient investment of time, effort and funds, which are not always available. There is a clear need for lightweig…

Information managementBiomedical ResearchDatabases FactualMedical Records Systems ComputerizedComputer scienceBiomedical EngineeringInformation Storage and RetrievalSample (statistics)lcsh:Computer applications to medicine. Medical informaticsBiochemistryWorld Wide WebUser-Computer InterfaceDocumentationSoftwareArtificial IntelligenceStructural BiologyConfidentialitylcsh:QH301-705.5Molecular BiologyClinical Trials as Topicbusiness.industryApplied MathematicsSubject (documents)Computer Science ApplicationsManagement information systemslcsh:Biology (General)Database Management Systemslcsh:R858-859.7Programming LanguagesUser interfacebusinessSoftware
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Towards efficient inductive synthesis of expressions from input/output examples

1993

Our goal through several years has been the development of efficient search algorithm for inductive inference of expressions using only input/output examples. The idea is to avoid exhaustive search by means of taking full advantage of semantic equality of many considered expressions. This might be the way that people avoid too big search when finding proof strategies for theorems, etc. As a formal model for the development of the method we use arithmetic expressions over the domain of natural numbers. A new approach for using weights associated with the functional symbols for restricting search space is considered. This allows adding constraints like the frequency of particular symbols in t…

Input/outputQuadratic equationTheoretical computer scienceSearch algorithmBeam searchBrute-force searchInductive reasoningComputer experimentAlgorithmExpression (mathematics)Mathematics
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Using Attribute Grammars for Description of Inductive Inference Search Space

1998

The problem of practically feasible inductive inference of functions or other objects that can be described by means of an attribute grammar is studied in this paper. In our approach based on attribute grammars various kinds of knowledge about the object to be found can be encoded, ranging from usual input/output examples to assumptions about unknown object's syntactic structure to some dynamic object's properties. We present theoretical results as well as describe the architecture of a practical inductive synthesis system based on theoretical findings.

business.industryComputer scienceAttribute grammarInferenceContext-free grammarInductive reasoningcomputer.software_genreObject (computer science)TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESRule-based machine translationTerminal and nonterminal symbolsFormal languageSyntactic structureArtificial intelligenceL-attributed grammarbusinesscomputerNatural language processing
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Incorporating hypothetical knowledge into the process of inductive synthesis

1996

The problem of inductive inference of functions from hypothetical knowledge is investigated in this paper. This type of inductive inference could be regarded as a generalization of synthesis from examples that can be directed not only by input/output examples but also by knowledge of, e. g., functional description's syntactic structure or assumptions about the process of function evaluation. We show that synthesis of this kind is possible by efficiently enumerating the hypothesis space and illustrate it with several examples.

Theoretical computer scienceInductive biasGeneralizationComputer scienceProcess (engineering)business.industrymedia_common.quotation_subjectSpace (commercial competition)Type (model theory)Inductive reasoningMachine learningcomputer.software_genreFunctional descriptionArtificial intelligenceFunction (engineering)businesscomputermedia_common
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