Search results for "rule-based"

showing 10 items of 53 documents

The Use of Rule-Based and QSPR Approaches in ADME Profiling: A Case Study on Caco-2 Permeability.

2013

During the early ADME profiling the development of simple, interpretable and reliable in silico tools is very important. In this study, rule-based and QSPR approaches were investigated using a large Caco-2 permeability database. Three permeability classes were determined: high (H), moderate (M) and low (L). The main physicochemical properties related with permeability were ranked as follows: Polar Surface Area (PSA)>Lipophilicity (logP/logD)>Molecular Weight (MW)>number of Hydrogen Bond donors and acceptors>Ionization State>number of Rotatable Bonds>number of Rings. The best rule, based on the combination of PSA-MW-logD (3PRule), was able to identify the H, M and L classes with accuracy of …

Profiling (computer programming)Quantitative structure–activity relationshipChemistryOrganic ChemistryRule-based systemCombinatorial chemistryComputer Science ApplicationsPolar surface areaBinary classificationStructural BiologyTest setDrug DiscoveryLipophilicityMolecular MedicineBiological systemADMEMolecular informatics
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A Proposed Knowledge Based Approach for Solving Proteomics Issues

2010

In this paper we present a novel knowledge-based approach that aims at helping scientists to face and resolve a large number of proteomics problem. The system architecture is based on an ontology to model the knowledge base, a reasoner that starting from the user's request and a set of rules builds the workflow of tasks to be done, and an executor that runs the algorithms and software scheduled by the reasoner. The system can interact with the user showing him intermediate results and several options in order to refine the workflow and supporting him to choose among different forks. Thanks to the presence of the knowledge base and the modularity provided by the ontology, the system can be e…

ProteomicsKnowledge-based systemOntologyComputer sciencebusiness.industryProteomicDSS Proteomics Rule-based SystemSemantic reasonerOntology (information science)ExecutorMachine learningcomputer.software_genreExpert systemKnowledge-based systemsWorkflowKnowledge baseSystems architectureArtificial intelligenceSoftware engineeringbusinesscomputer
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A Context-Aware System for Ambient Assisted Living

2017

In the near future, the world's population will be characterized by an increasing average age, and consequently, the number of people requiring for a special household assistance will dramatically rise. In this scenario, smart homes will significantly help users to increase their quality of life, while maintaining a great level of autonomy. This paper presents a system for Ambient Assisted Living (AAL) capable of understanding context and user's behavior by exploiting data gathered by a pervasive sensor network. The knowledge inferred by adopting a Bayesian knowledge extraction approach is exploited to disambiguate the collected observations, making the AAL system able to detect and predict…

QA75Computer sciencemedia_common.quotation_subjectPopulationAmbient Assisted LivingContext (language use)02 engineering and technologyTheoretical Computer ScienceDynamic Bayesian NetworkKnowledge extractionQuality of lifeRule-based reasoningHuman–computer interactionHome automation0202 electrical engineering electronic engineering information engineeringContext awarenesseducationmedia_commonSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionieducation.field_of_studyMulti-sensor data fusionbusiness.industryComputer Science (all)Context awarene020206 networking & telecommunicationsRule-based system020201 artificial intelligence & image processingbusinessWireless sensor networkAutonomy
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An Ambient Intelligence System for Assisted Living

2017

Nowadays, the population's average age is constantly increasing, and thus the need for specialized home assistance is on the rise. Smart homes especially tailored to meet elderly and disabled people's needs can help them maintaining their autonomy, whilst ensuring their safety and well-being. This paper proposes a complete context-aware system for Ambient Assisted Living (AAL), which infers user's actions and context, analyzing its past and current behavior to detect anomalies and prevent possible emergencies. The proposed system exploits Dynamic Bayesian Networks to merge raw data coming from heterogeneous sensors and infer user's behavior and health conditions. A rule-based reasoner is ab…

QA75ExploitComputer sciencemedia_common.quotation_subjectPopulationAmbient Assisted Living02 engineering and technologyAmbient Assisted Living; Multi-sensor data fusion; Dynamic Bayesian Networks; Context awareness; Rule-based ReasoningDynamic Bayesian NetworkHome automationHuman–computer interaction0202 electrical engineering electronic engineering information engineeringeducationDynamic Bayesian networkmedia_commonSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionieducation.field_of_studyAmbient intelligenceMulti-sensor data fusionbusiness.industryRule-based ReasoningContext awarene020206 networking & telecommunicationsSemantic reasoner020201 artificial intelligence & image processingbusinessRaw dataAutonomy
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A Dynamic Reasoning Architecture for Computer Network Management

2005

This paper focuses on improving network management and monitoring by the adoption of Artificial Intelli- gence techniques. In order to allow automated reasoning on networking concepts, we defined an accurate ontologi- cal model capable of describing as better as possible the networking domain. The thorough representation of the do- main knowledge is used by a Logical Reasoner, which is an expert system capable of performing high-level manage- ment tasks.

Reasoning systemArtificial architectureOpportunistic reasoningKnowledge representation and reasoningbusiness.industryComputer scienceMulti-agent systemRule-based systemMarketing and artificial intelligenceLegal expert systemSemantic reasonerModel-based reasoningcomputer.software_genreExpert systemArtificial intelligence situated approachProcedural reasoning systemOntologyDomain knowledgecomputer network managementAutomated reasoningArtificial intelligencebusinessSoftware engineeringcomputer
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4th International Workshop on Language Engineering (ATEM 2007)

2008

Following the great success of previous editions, ATEM2007 is the 4thedition of the ATEM workshop series. The first two editions were held with WCRE in 2003 and 2004, while the 3rdone was held with MoDELS 2006. ATEM has always been focused on engineering of language descriptions. In order to cover as many aspects of language descriptions important for greater success and adoption of model-driven engineering, ATEM has been evolving so as its scope: The first edition was about metamodelsand schemas. The second about was metamodels, schemasand grammars. The third edition was about metamodels, schemas, grammarsand ontologies.

Rule-based machine translationScope (project management)Computer sciencebusiness.industryLanguage engineeringSoftware engineeringbusinessOn LanguageFull paperCode clone
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Découverte des relations dans les réseaux sociaux

2011

In recent years, social network sites exploded in popularity and become an important part of the online activities on the web. This success is related to the various services/functionalities provided by each site (ranging from media sharing, tagging, blogging, and mainly to online social networking) pushing users to subscribe to several sites and consequently to create several social networks for different purposes and contexts (professional, private, etc.). Nevertheless, current tools and sites provide limited functionalities to organize and identify relationship types within and across social networks which is required in several scenarios such as enforcing users’ privacy, and enhancing t…

Rule-based relationship identificationCoreferent usersMetadataPhotos[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]Pas de mot clé en françaisClassificationLink miningSocial networks[INFO.INFO-OH] Computer Science [cs]/Other [cs.OH]Relationship discoveryLink type predictionEntity resolution[ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH]CrowdsourcingUser profiles
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Multi-pass execution of functional logic programs

1994

An operational semantics for functional logic programs is presented. In such programs functional terms provide for reduction of expressions, provided that they ground. The semantics is based on multi-pass evaluation techniques originally developed for attribute grammars. Program execution is divided into two phases: (1) construction of an incomplete proof tree, and (2) its decoration into a complete proof tree. The construction phase applies a modified SLD-resolution scheme, and the decoration phase a partial (multi-pass) traversal over the tree. The phase partition is generated by static analysis where data dependencies are extracted for the functional elements of the program. The method g…

Scheme (programming language)Theoretical computer scienceComputer scienceSemantics (computer science)Programming languageStatic analysiscomputer.software_genrePartition (database)Operational semanticsTree (data structure)Tree traversalRule-based machine translationcomputercomputer.programming_languageProceedings of the 21st ACM SIGPLAN-SIGACT symposium on Principles of programming languages - POPL '94
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Reasons, Rules, Exceptions. Towards a Psychological Account

2018

In this paper we defend a psychological account of rule-based reasoning, specifically of the relationship between rules and exceptions. The topic of our inquiry are the relations between rules, the reasons underlying them, and exceptions. In analysing these relations, first, we outline an apparent paradox, the “paradox of rules”, and a related problem, the “problem of reconsideration”. Then, we propose a solution to, or better dissolution of, the paradox, grounded in an account of the psychological processes underlying rule-application and reconsideration. We claim, that is, that the problem of reconsideration should be answered by appealing to matters of sheer psychological fact. The upsho…

Settore IUS/20 - Filosofia Del DirittoRules. Exceptions. Particularism. Psychologism. Rule-based reasoning.Settore M-FIL/03 - Filosofia Morale
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Adaptive sparse representation of continuous input for tsetlin machines based on stochastic searching on the line

2021

This paper introduces a novel approach to representing continuous inputs in Tsetlin Machines (TMs). Instead of using one Tsetlin Automaton (TA) for every unique threshold found when Booleanizing continuous input, we employ two Stochastic Searching on the Line (SSL) automata to learn discriminative lower and upper bounds. The two resulting Boolean features are adapted to the rest of the clause by equipping each clause with its own team of SSLs, which update the bounds during the learning process. Two standard TAs finally decide whether to include the resulting features as part of the clause. In this way, only four automata altogether represent one continuous feature (instead of potentially h…

Stochastic Searching on the Line automatonBoosting (machine learning)decision support systemTK7800-8360Computer Networks and CommunicationsComputer scienceDiscriminative modelFeature (machine learning)Electrical and Electronic EngineeringArtificial neural networkrule-based learninginterpretable machine learninginterpretable AISparse approximationAutomatonRandom forestSupport vector machineVDP::Teknologi: 500Tsetlin MachineXAIHardware and ArchitectureControl and Systems EngineeringSignal ProcessingElectronicsTsetlin automataAlgorithm
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