<--- Back to Details
First PageDocument Content
Algorithms / Engineering / Academia / Applied mathematics / Operations research / Mathematical logic / Theoretical computer science / Human-based computation / Divide and conquer algorithms / Crowdsourcing / Problem solving / Computer science
Date: 2011-03-24 21:28:49
Algorithms
Engineering
Academia
Applied mathematics
Operations research
Mathematical logic
Theoretical computer science
Human-based computation
Divide and conquer algorithms
Crowdsourcing
Problem solving
Computer science

Crowdsourcing General Computation Haoqi Zhang∗ , Eric Horvitz† , Rob C. Miller‡ , and David C. Parkes∗ ∗ Harvard SEAS Cambridge, MA 02138, USA {hq, parkes}@eecs.harvard.edu

Add to Reading List

Source URL: crowdresearch.org

Download Document from Source Website

File Size: 725,17 KB

Share Document on Facebook

Similar Documents

SCAN 2018 Post-conference Proceedings Special Issue of Journal of Computational and Applied Mathematics Call for Papers Special Issue on the 18th International Symposium on Scientific Computing, Computer Arithmetic,

SCAN 2018 Post-conference Proceedings Special Issue of Journal of Computational and Applied Mathematics Call for Papers Special Issue on the 18th International Symposium on Scientific Computing, Computer Arithmetic,

DocID: 1xVSx - View Document

Performance Evaluation and Optimization Models for Processing Networks with Queue-Dependent Production Quantities by John S. Hollywood S.B. Applied Mathematics

Performance Evaluation and Optimization Models for Processing Networks with Queue-Dependent Production Quantities by John S. Hollywood S.B. Applied Mathematics

DocID: 1xVdz - View Document

Mixture Density Networks Christopher M. Bishop Neural Computing Research Group Dept. of Computer Science and Applied Mathematics Aston University

Mixture Density Networks Christopher M. Bishop Neural Computing Research Group Dept. of Computer Science and Applied Mathematics Aston University

DocID: 1xUJf - View Document

Mathematics_BS_Applied.pdf

Mathematics_BS_Applied.pdf

DocID: 1xTYO - View Document

A BOOTSTRAP INTERVAL ESTIMATOR FOR BAYES’ CLASSIFICATION ERROR Chad M. Hawes and Carey E. Priebe Johns Hopkins University Department of Applied Mathematics and Statistics Baltimore, MDABSTRACT

A BOOTSTRAP INTERVAL ESTIMATOR FOR BAYES’ CLASSIFICATION ERROR Chad M. Hawes and Carey E. Priebe Johns Hopkins University Department of Applied Mathematics and Statistics Baltimore, MDABSTRACT

DocID: 1vrMQ - View Document