Knowledge Elicitation via Sequential Probabilistic Inference for High-Dimensional Prediction

Machine Learning - Netherlands
doi 10.1007/s10994-017-5651-7
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

Estimating Sensor Population via Probabilistic Sequential Polling

IEEE Signal Processing Letters
Electronic EngineeringApplied MathematicsElectricalSignal Processing
2005English

BayesSim: Adaptive Domain Randomization via Probabilistic Inference for Robotics Simulators

2019English

Simultaneous Trajectory Estimation and Planning via Probabilistic Inference

2017English

High-Resolution Sweep Metagenomics Using Fast Probabilistic Inference

Wellcome Open Research
BiochemistryMedicineGeneticsMolecular Biology
2020English

Penalized Inference of the Hematopoietic Cell Differentiation Network via High-Dimensional Clonal Tracking

Applied Network Science
Computational MathematicsCommunicationsMultidisciplinaryComputer Networks
2019English

Fast Feature Selection Aimed at High-Dimensional Data via Hybrid-Sequential-Ranked Searches

Expert Systems with Applications
EngineeringComputer Science ApplicationsArtificial Intelligence
2012English

Knowledge Elicitation and Modeling for E-Government

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2004English

Contribution of Probabilistic Grammar Inference With K-Testable Language for Knowledge Modeling - Application on Aging People

2013English

Towards Verified Stochastic Variational Inference for Probabilistic Programs

Proceedings of the ACM on Programming Languages
2020English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy