Learning Complex Concepts Using Crowdsourcing: A Bayesian Approach

Lecture Notes in Computer Science - Germany
doi 10.1007/978-3-642-24873-3_21
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Berlin Heidelberg

Related search

DNA.Land: A Digital Biobank Using a Massive Crowdsourcing Approach

2017English

A Bayesian Approach to Multimodal Visual Dictionary Learning

2013English

Crowdsourcing of Economic Forecast Combination of Forecasts Using Bayesian Model Averaging

SSRN Electronic Journal
2015English

A Crowdsourcing Approach for Volunteering System

2017English

A Bayesian Approach to Learning 3D Representations of Dynamic Environments

Springer Tracts in Advanced Robotics
Electronic EngineeringElectricalArtificial Intelligence
2014English

A Bayesian Developmental Approach to Robotic Goal-Based Imitation Learning

PLoS ONE
Multidisciplinary
2015English

Maya Codical Glyph Segmentation: A Crowdsourcing Approach

IEEE Transactions on Multimedia
Electronic EngineeringMedia TechnologyComputer Science ApplicationsElectricalSignal Processing
2018English

A Skeleton-Based Approach to Learning Bayesian Networks From Data

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2003English

Millionaire: A Hint-Guided Approach for Crowdsourcing

Machine Learning
Artificial IntelligenceSoftware
2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy