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1Leukocyte telomere dynamics across gestation in uncomplicated pregnancies and associations with stress
D. Panelli, S. Leonard, R. Wong, M. Becker, J. Mayo, E. Wu, A. Girsen, I. Gotlib, N. Aghaeepour, M. Druzin и 1 other автор(ы). BMC Pregnancy and Childbirth, 22 (1): 1--12 (2022)
3 лет назад , @becker
telomeres
myown
stress
pregnancy
telomere
machine
learning
telomeresmyownstresspregnancytelomeremachinelearning
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2Cross-validation is safe to use
R. King, O. Orhobor, и C. Taylor. Nature Machine Intelligence, 3 (4): 276--276 (2021)
3 лет назад , @becker
citedby:scholar:timestamp:2021-11-23
nature
citedby:scholar:count:2
evaluation
machine
cross
learning
intelligence
validation
citedby:scholar:timestamp:2021-11-23naturecitedby:scholar:count:2evaluationmachinecrosslearningintelligencevalidation
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2The Dark Side of Machine Learning Algorithms: How and Why They Can Leverage Bias, and What Can Be Done to Pursue Algorithmic Fairness
M. Vasileva. Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, стр. 3586--3587. (2020)
3 лет назад , @becker
fairness
subgroup
subgroups
citedby:scholar:count:2
bias
machine
learning
algorithm
citedby:scholar:timestamp:2021-8-8
fairnesssubgroupsubgroupscitedby:scholar:count:2biasmachinelearningalgorithmcitedby:scholar:timestamp:2021-8-8
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1A Survey on Heart Disease Prediction Techniques
G. Shanthi. International Journal of Trend in Scientific Research and Development, 5 (2): 68-71 (февраля 2021)
4 лет назад , @ijtsrd
Heart
disease
mining
data
machine
prediction
learning
Heartdiseaseminingdatamachinepredictionlearning
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1Applicability of an Automated Model and Parameter Selection in the Prediction of Screening-Level PTSD in Danish Soldiers Following Deployment: Development Study of Transferable Predictive Models Using Automated Machine Learning
K. "Karstoft, I. "Tsamardinos, K. "Eskelund, Ändersen.SB", и L. "Nissen. JMIR Medical Informatics, (июля 2020)
4 лет назад , @mensxmachina
models
Learning
study
selection
parameter
transferable
predictive
Automated
application
AutoML
Machine
modelsLearningstudyselectionparametertransferablepredictiveAutomatedapplicationAutoMLMachine
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1Review Analysis of Products and Recommendation System
M. I. International Journal of Trend in Scientific Research and Development, 4 (3): 1164-1167 (апреля 2020)
4 лет назад , @ijtsrd
Filtering
Score
Analysis
Learning
Pearson
Collaborative
Data
Euclidean
Distance
Machine
FilteringScoreAnalysisLearningPearsonCollaborativeDataEuclideanDistanceMachine
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3Connectionist Expert Systems
S. Gallant. Communications of the ACM, (1988)
5 лет назад , @tomhanika
machine
learning
rules
explainable
extraction
xai
machinelearningrulesexplainableextractionxai
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1Control, Capabilities and Communication: Three Key Issues for Machine-Expert Collaborative Knowledge Acquisition
G. Webb. Proceedings (Complement) of the Seventh European Workshop on Knowledge Acquisition for Knowledge-based Systems (EWKA'93), стр. 263-275. Springer-Verlag, (1993)
9 лет назад , @giwebb
with
Learning
Experts
from
Acquisition
Knowledge
Machine
withLearningExpertsfromAcquisitionKnowledgeMachine
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1Integrating Machine Learning with Knowledge Acquisition
G. Webb. Expert Systems, 3, Academic Press, San Diego, CA, (2002)
9 лет назад , @giwebb
with
Experts,
Learning
from
Acquisition
Knowledge
Machine
withExperts,LearningfromAcquisitionKnowledgeMachine
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1An Experimental Evaluation of Integrating Machine Learning with Knowledge Acquisition
G. Webb, J. Wells, и Z. Zheng. Machine Learning, 35 (1): 5-24 (1999)
9 лет назад , @giwebb
with
Experts,
Learning
from
Rule
Acquisition
Knowledge
Machine
withExperts,LearningfromRuleAcquisitionKnowledgeMachine
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1Candidate Elimination Criteria for Lazy Bayesian
G. Webb. Lecture Notes in Computer Science Vol. 2256: Proceedings of the 14th Australian Joint Conference on Artificial Intelligence (AI'01), стр. 545-556. Berlin/Heidelberg, Springer, (2001)
9 лет назад , @giwebb
machine
learning
machinelearning
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1Integrating Machine Learning With Knowledge Acquisition Through Direct Interaction With Domain Experts
G. Webb. Knowledge-Based Systems, (1996)
9 лет назад , @giwebb
with
Experts,
Learning
from
Rule
Acquisition
Knowledge
Machine
withExperts,LearningfromRuleAcquisitionKnowledgeMachine
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1Einstein: An Interactive Inductive Knowledge-Acquisition Tool
G. Webb. Proceedings of the Sixth Banff Knowledge Acquisition for Knowledge-Based Systems Workshop, стр. (36)1-16. (1991)
9 лет назад , @giwebb
with
Learning
Experts
from
Acquisition
Knowledge
Machine
withLearningExpertsfromAcquisitionKnowledgeMachine
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1Recent Progress in Machine-Expert Collaboration for Knowledge Acquisition
G. Webb, и J. Wells. Proceedings of the Eighth Australian Joint Conference on Artificial Intelligence (AI'95), стр. 291-298. Singapore, World Scientific, (1995)
9 лет назад , @giwebb
with
Learning
Experts
from
Acquisition
Knowledge
Machine
withLearningExpertsfromAcquisitionKnowledgeMachine
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7Multi Label Classification: An Overview
G. Tsoumakas, и I. Katakis. International Journal of Data Warehouse and Mining, 3 (3): 1--13 (2007)
16 лет назад , @hotho
machine
learning
survey
ml
classification
multi_label
machinelearningsurveymlclassificationmulti_label
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2Forward models: Supervised learning with a distal teacher
M. Jordan, и D. Rumelhart. Cognitive Science, 16 (3): 307-354 (1992)
16 лет назад , @yish
neuralnetworks
supervised
neural
machine
AI
learning
teaching
computational
wleformativeeassessment
networks
theory
neuralnetworkssupervisedneuralmachineAIlearningteachingcomputationalwleformativeeassessmentnetworkstheory
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1Feature extraction using multi-objective genetic programming
Y. Zhang, и P. Rockett. Multi-Objective Machine Learning, том 16 из Studies in Computational Intelligence, глава 4, Springer, Invited chapter.(2006)
17 лет назад , @brazovayeye
genetic
algorithms,
Learning
programming,
Evolutionary
Optimisation,
Multi-objective
Machine
geneticalgorithms,Learningprogramming,EvolutionaryOptimisation,Multi-objectiveMachine
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публикации (спрятать)17
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1Leukocyte telomere dynamics across gestation in uncomplicated pregnancies and associations with stress

2Cross-validation is safe to use

2The Dark Side of Machine Learning Algorithms: How and Why They Can Leverage Bias, and What Can Be Done to Pursue Algorithmic Fairness

1A Survey on Heart Disease Prediction Techniques

1Applicability of an Automated Model and Parameter Selection in the Prediction of Screening-Level PTSD in Danish Soldiers Following Deployment: Development Study of Transferable Predictive Models Using Automated Machine Learning

1Review Analysis of Products and Recommendation System

3Connectionist Expert Systems

1Control, Capabilities and Communication: Three Key Issues for Machine-Expert Collaborative Knowledge Acquisition

1Integrating Machine Learning with Knowledge Acquisition

1An Experimental Evaluation of Integrating Machine Learning with Knowledge Acquisition

1Candidate Elimination Criteria for Lazy Bayesian

1Integrating Machine Learning With Knowledge Acquisition Through Direct Interaction With Domain Experts

1Einstein: An Interactive Inductive Knowledge-Acquisition Tool

1Recent Progress in Machine-Expert Collaboration for Knowledge Acquisition

7Multi Label Classification: An Overview

2Forward models: Supervised learning with a distal teacher

1Feature extraction using multi-objective genetic programming

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публикации (спрятать)17
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