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showing 10 items of 3931 documents

Decision Committee Learning with Dynamic Integration of Classifiers

2000

Decision committee learning has demonstrated spectacular success in reducing classification error from learned classifiers. These techniques develop a classifier in the form of a committee of subsidiary classifiers. The combination of outputs is usually performed by majority vote. Voting, however, has a shortcoming. It is unable to take into account local expertise. When a new instance is difficult to classify, then the average classifier will give a wrong prediction, and the majority vote will more probably result in a wrong prediction. Instead of voting, dynamic integration of classifiers can be used, which is based on the assumption that each committee member is best inside certain subar…

Majority ruleBoosting (machine learning)business.industryComputer scienceFeature vectormedia_common.quotation_subjectMachine learningcomputer.software_genreRandom subspace methodComputingMethodologies_PATTERNRECOGNITIONVotingArtificial intelligenceAdaBoostbusinesscomputerClassifier (UML)Information integrationmedia_common
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Dynamic integration with random forests

2006

Random Forests (RF) are a successful ensemble prediction technique that uses majority voting or averaging as a combination function. However, it is clear that each tree in a random forest may have a different contribution in processing a certain instance. In this paper, we demonstrate that the prediction performance of RF may still be improved in some domains by replacing the combination function with dynamic integration, which is based on local performance estimates. Our experiments also demonstrate that the RF Intrinsic Similarity is better than the commonly used Heterogeneous Euclidean/Overlap Metric in finding a neighbourhood for local estimates in the context of dynamic integration of …

Majority ruleSimilarity (geometry)business.industryContext (language use)Function (mathematics)Machine learningcomputer.software_genreSimilitudeRandom forestTree (data structure)Metric (mathematics)Artificial intelligencebusinesscomputerAlgorithmMathematicsMachine Learning ECML 2006 : 17th European Conference on Machine Learning Berlin, Germany, September 18-22, 2006 : proceedings
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State-dependent pairing behaviour in male Gammarus pulex (L.) (Crustacea, Amphipoda): effects of time left to moult and prior pairing status

2004

Because mating can be costly in terms of time and energy, an individual's propensity to engage in courtship and mating activities might be modulated by its physiological state. However, so far, state-dependent mate choice has received little attention The present study examined the effect of both prior pairing status and time left to the moult on the ability of male Gammarus pulex (Crustacea, Amphipoda) to enter in precopula with receptive females. In the lab, males that were freshly collected in precopula pairs in the field had a higher probability of re-pairing and were quicker to enter in precopula with receptive females compared to males of similar size that were freshly collected unpai…

Male0106 biological sciencesMudaTime Factorsmedia_common.quotation_subjectDecision MakingZoology010603 evolutionary biology01 natural sciencesCourtshipRandom AllocationBehavioral NeuroscienceCrustaceaCopulationAnimalsAmphipoda0501 psychology and cognitive sciences050102 behavioral science & comparative psychologyMatingComputingMilieux_MISCELLANEOUSmedia_commonPair BondbiologyEcology[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]05 social sciencesGeneral Medicinebiology.organism_classificationCrustaceanGammarus pulexLogistic Models[ SDV.BID.EVO ] Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]PulexMate choiceFemaleAnimal Science and ZoologyReproductionBehavioural Processes
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Food provisioning alters infection dynamics in populations of a wild rodent

2015

While pathogens are often assumed to limit the growth of wildlife populations, experimental evidence for their effects is rare. A lack of food resources has been suggested to enhance the negative effects of pathogen infection on host populations, but this theory has received little investigation. We conducted a replicated two-factor enclosure experiment, with introduction of the bacteriumBordetella bronchisepticaand food supplementation, to evaluate the individual and interactive effects of pathogen infection and food availability on vole populations during a boreal winter. We show that prior to bacteria introduction, vole populations were limited by food availability.Bordetella bronchisept…

Male0106 biological sciencesRodentPopulation Dynamicsfood supplementation01 natural sciencesRodent Diseases2300 General Environmental ScienceRandom Allocation2400 General Immunology and MicrobiologyPathogenResearch ArticlesFinlandGeneral Environmental Science0303 health sciencesBordetella bronchisepticabiologyArvicolinaeEcologyGeneral Medicinefactorial experimentcoBordetellaArvicolinaeFemalepopulation limitationSeasonsGeneral Agricultural and Biological Sciences10184 Institute of Veterinary Pathology1100 General Agricultural and Biological SciencesBordetella bronchiseptica010603 evolutionary biologyGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesco-infection1300 General Biochemistry Genetics and Molecular Biologybiology.animalAnimalsPopulation Growthta413Bordetella Infections030304 developmental biologyGeneral Immunology and MicrobiologyHost (biology)biology.organism_classificationinfectionDietBordetella InfectionsvoleDietary Supplements570 Life sciences; biologyta1181VoleProceedings of the Royal Society B: Biological Sciences
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Identifying a key host in an acanthocephalan-amphipod system.

2015

SUMMARYTrophically transmitted parasites may use multiple intermediate hosts, some of which may be ‘key-hosts’, i.e. contributing significantly more to the completion of the parasite life cycle, while others may be ‘sink hosts’ with a poor contribution to parasite transmission. Gammarus fossarum and Gammarus roeseli are sympatric crustaceans used as intermediate hosts by the acanthocephalan Pomphorhynchus laevis. Gammarus roeseli suffers higher field prevalence and is less sensitive to parasite behavioural manipulation and to predation by definitive hosts. However, no data are available on between-host differences in susceptibility to P. laevis infection, making it difficult to untangle the…

Male0106 biological sciences[ SDV.MP.PAR ] Life Sciences [q-bio]/Microbiology and Parasitology/ParasitologyGenotypeprevalenceCyprinidaeBiology010603 evolutionary biology01 natural scienceshost qualityAcanthocephalaHost-Parasite InteractionsPredationFish DiseasesRandom Allocation03 medical and health sciencesRiversGammarus roeseli[ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisAnimalsParasite hostinghost specificityAmphipoda[SDV.MP.PAR]Life Sciences [q-bio]/Microbiology and Parasitology/ParasitologyParasite transmissionMulti-host parasites030304 developmental biologyInfectivity0303 health sciences[ SDE.BE ] Environmental Sciences/Biodiversity and EcologyEcologyinfectivitytransmissionGenetic Variationbiology.organism_classificationCrustaceanLogistic ModelsPhenotypeInfectious DiseasesSympatric speciationPredatory BehaviorFemaleAnimal Science and ZoologyParasitologyPomphorhynchus laevisHelminthiasis Animal[SDE.BE]Environmental Sciences/Biodiversity and Ecology[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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Effect of Mastiha supplementation on NAFLD: The MAST4HEALTH Randomised, Controlled Trial

2021

On behalf of MAST4HEALTH consortium: et al.

Male0301 basic medicine*NAFLD/NASH[SDV]Life Sciences [q-bio]MathematicsofComputing_GENERALGut floraGastroenterologyBody Mass Indexlaw.inventionPlacebos*metabolomicsLiver diseaseRandomized controlled trialNon-alcoholic Fatty Liver DiseaseFibrosislawNonalcoholic fatty liver disease*microbiota dysbiosisComputingMilieux_MISCELLANEOUSGreecebiologyMastic ResinMastihaNASHTheoryofComputation_GENERALMiddle Agedmetabolomics3. Good healthItalyLiverFemaleSerbiaMRIBiotechnologyAdultmedicine.medical_specialty*MRIPlacebo03 medical and health sciencesDouble-Blind MethodNAFLDInternal medicinemedicineHumansObesityAged030109 nutrition & dieteticsbusiness.industrymedicine.diseasebiology.organism_classificationGastrointestinal MicrobiomeClinical trialmicrobiota dysbiosis030104 developmental biologyDietary SupplementsDysbiosisComputingMilieux_COMPUTERSANDSOCIETYbusinessDysbiosis*MastihaFood Science
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Radiotherapy before or during androgen-deprivation therapy does not blunt the exercise-induced body composition protective effects in prostate cancer…

2021

Background Androgen deprivation therapy (ADT) contributes to lean mass loss and adiposity increases in prostate cancer patients. Radiotherapy during ADT might act synergistically and further worsen body composition. Previous investigations have shown that resistance training is an effective method of preserving body composition during ADT, however, most have not accounted for direct or indirect effects of other therapies, such as radiotherapy. Therefore, the purpose of this study was to examine training adaptations of the tissue composition in patients receiving radiation therapy (RT) prior or during ADT. Methods Analyses were performed by combining data from two previous trials for a total…

Male0301 basic medicineAgingmedicine.medical_treatmentBiochemistryMuscle hypertrophylaw.inventionAndrogen deprivation therapyProstate cancer0302 clinical medicineEndocrinologyRandomized controlled triallawRandomized Controlled Trials as Topicadipositykuntoliikuntamuscle massAndrogensBody Compositionhypertrophyliikuntahoitomedicine.medical_specialtyUrology03 medical and health sciencesAtrophyatrophyGeneticsmedicineHumansAerobic exerciseMuscle StrengthMolecular BiologyatrofiaAgedkehonkoostumussyöpähoidotbusiness.industryProstatic NeoplasmsAndrogen AntagonistsCell Biologymedicine.diseaseRadiation therapysädehoito030104 developmental biologyresistance exerciselihasmassaLean body massbusinesslihassurkastumasairaudet030217 neurology & neurosurgery
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Neuroprotective action of diazepam at very low and moderate doses in Alzheimer's disease model rats

2018

Abstract Early manifestations of Alzheimer's disease (AD) include neuroinflammation, disrupted neurotransmission and cognitive deficits. Impairment of the GABAergic system is essentially involved in the pathogenesis of AD. Traditionally, agonists of GABAA receptors at doses above 1 mg/kg are known to possess memory impairing effects. However, we have previously found that GABAA receptor GABA site ligand muscimol at very low doses acted contrary – enhanced spatial learning/memory, as well as prevented neuroinflammation and augmented neurotransmission in AD model rats. Therefore, in the present study we focused on the assessment of the effects of non-sedative – very low (0.05 mg/kg) and moder…

Male0301 basic medicineAllosteric modulatormedicine.drug_classSynaptophysinNeurotransmissionPharmacologyHippocampusNeuroprotectionRandom Allocation03 medical and health sciencesCellular and Molecular Neurosciencechemistry.chemical_compound0302 clinical medicineAlzheimer DiseasemedicineAnimalsGliosisRats Wistargamma-Aminobutyric AcidCerebral CortexPharmacologyMemory DisordersBenzodiazepineDiazepamDose-Response Relationship DrugGlutamate DecarboxylaseGABAA receptorAcetylcholineNeuroprotective Agents030104 developmental biologyGene Expression RegulationMuscimolchemistryAstrocytesSynaptic plasticityGABAergic030217 neurology & neurosurgeryNeuropharmacology
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Replacing red meat and processed red meat for white meat, fish, legumes or eggs is associated with lower risk of incidence of metabolic syndrome.

2016

BACKGROUND & AIMS: Few studies have assessed the association between consumption of red meat (RM) and processed red meats (PRM) and the incidence of metabolic syndrome (MetS) and results have been inconsistent. We investigated associations between total consumption of meat and its subtypes and incident MetS and estimated the effect of substituting RM or PRM for alternative protein-rich foods. METHODS: We analyzed 1868 participants (55-80 years-old) recruited into the PREDIMED study who had no MetS at baseline and were followed for a median of 3.2 years. MetS was defined using updated harmonized criteria. Anthropometric variables, dietary habits, and blood biochemistry were determined at bas…

Male0301 basic medicineCarn -- Aspectes nutricionalsSíndrome metabòlicaMeatMediterranean dietWhite meatEggsPREDIMED-study030209 endocrinology & metabolismCritical Care and Intensive Care MedicineLower risk03 medical and health sciencesProcessed red meat0302 clinical medicineRisk FactorsTotal meatmedicineAnimalsHumansLongitudinal StudiesFood scienceAgedProportional Hazards ModelsRandomized Controlled Trials as TopicAged 80 and overMetabolic SyndromeRed meat030109 nutrition & dieteticsNutrition and Dieteticsbusiness.industryIncidenceIncidence (epidemiology)Hazard ratioFishesFabaceaeMiddle Agedmedicine.diseaseConfidence intervalRed MeatNutrition AssessmentSeafoodRed meatFemaleDiet HealthyMetabolic syndromebusinessFollow-Up Studies
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Comparison of Different Hypotheses Regarding the Spread of Alzheimer’s Disease Using Markov Random Fields and Multimodal Imaging

2018

Alzheimer’s disease (AD) is characterized by a cascade of pathological processes that can be assessed in vivo using different neuroimaging methods. Recent research suggests a systematic sequence of pathogenic events on a global biomarker level, but little is known about the associations and dependencies of distinct lesion patterns on a regional level. Markov random fields are a probabilistic graphical modeling approach that represent the interaction between individual random variables by an undirected graph. We propose the novel application of this approach to study the interregional associations and dependencies between multimodal imaging markers of AD pathology and to compare different hy…

Male0301 basic medicineComputer scienceModels Neurologicalphysiopathology [Brain]Machine learningcomputer.software_genrephysiopathology [Alzheimer Disease]Multimodal Imaging03 medical and health sciences0302 clinical medicineNeuroimagingAlzheimer DiseaseHumansddc:610Graphical modeldiagnostic imaging [Brain]Default mode networkAgedModels StatisticalRandom fieldMarkov random fieldMarkov chainbusiness.industryGeneral NeuroscienceProbabilistic logicBrainGeneral MedicineMagnetic Resonance ImagingMarkov ChainsPsychiatry and Mental healthClinical Psychology030104 developmental biologyPositron-Emission TomographyGraph (abstract data type)FemaleArtificial intelligenceGeriatrics and Gerontologybusinessdiagnostic imaging [Alzheimer Disease]computer030217 neurology & neurosurgeryJournal of Alzheimer's Disease
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