E-LIB Suche - Ergebnisse für: Tom Minka

1

Investigating immediacy in multiple-phase-change single-cas..:

Natesan Batley, Prathiba ; Minka, Tom ; Hedges, Larry Vernon
Behavior Research Methods. 52 (2020) 4 - p. 1714-1728 , 2020

Link: https://doi.org/10.3758/..

2

Bayesian Prior Choice in IRT Estimation Using MCMC and Vari..:

Natesan, Prathiba ; Nandakumar, Ratna ; Minka, Tom.
Frontiers in Psychology. 7 (2016) - p. , 2016

Link: https://doi.org/10.3389/..

3

You are facing the Mona Lisa : spot localization using P..:

, In: Proceedings of the 10th international conference on Mobile systems, applications, and services,

Sen, Souvik ; Radunovic, Božidar ; Choudhury, Romit Roy. - p. 183-196 , 2012

Link: https://dl.acm.org/doi/1..

4

Precise indoor localization using PHY layer information:

, In: Proceedings of the 10th ACM Workshop on Hot Topics in Networks,

Sen, Souvik ; Choudhury, Romit Roy ; Radunovic, Bozidar. - p. 1-6 , 2011

Link: https://dl.acm.org/doi/1..

5

Precise indoor localization using PHY information:

, In: Proceedings of the 9th international conference on Mobile systems, applications, and services,

Sen, Souvik ; Radunovic, Bozidar ; Roy Choudhury, Romit. - p. 413-414 , 2011

Link: https://dl.acm.org/doi/1..

6

A novel click model and its applications to online advertis..:

, In: Proceedings of the third ACM international conference on Web search and data mining,

Zhu, Zeyuan Allen ; Chen, Weizhu ; Minka, Tom.. - p. 321-330 , 2010

Link: https://dl.acm.org/doi/1..

7

Click chain model in web search:

, In: Proceedings of the 18th international conference on World wide web,

Guo, Fan ; Liu, Chao ; Kannan, Anitha... - p. 11-20 , 2009

Link: https://dl.acm.org/doi/1..

8

SoftRank : optimizing non-smooth rank metrics:

, In: Proceedings of the 2008 International Conference on Web Search and Data Mining,

Taylor, Michael ; Guiver, John ; Robertson, Stephen. - p. 77-86 , 2008

Link: https://dl.acm.org/doi/1..

9

Bayesian Prior Choice in IRT estimation using MCMC and Vari..:

Prathiba Natesan ; Ratna Nandakumar ; Tom Minka.
http://journal.frontiersin.org/Journal/10.3389/fpsyg.2016.01422/full. , 2016

Link: https://doi.org/10.3389/..

10

Understanding Causality with Large Language Models: Feasibi..:

Zhang, Cheng ; Bauer, Stefan ; Bennett, Paul...
http://arxiv.org/abs/2304.05524. , 2023

Link: http://arxiv.org/abs/230..

11

Bayesian Prior Choice in IRT Estimation Using MCMC and Vari..:

Natesan, Prathiba ; Nandakumar, Ratna ; Minka, Tom.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5037236/. , 2016

Link: http://www.ncbi.nlm.nih...

12

A* Sampling:

Maddison, Chris J ; Tarlow, Daniel ; Minka, Tom
http://arxiv.org/abs/1411.0030. , 2014

Link: http://arxiv.org/abs/141..

13

How To Grade a Test Without Knowing the Answers --- A Bayes..:

Bachrach, Yoram ; Graepel, Thore ; Minka, Tom.
http://arxiv.org/abs/1206.6386. , 2012

Link: http://arxiv.org/abs/120..

14

Bayesian Prior Choice in IRT Estimation Using MCMC and Vari..:

Natesan, Prathiba ; Nandakumar, Ratna ; Minka, Tom.
Natesan, P., Nandakumar, R., Minka, T., & Rubright, J. D. (2016). Bayesian prior choice in IRT estimation using MCMC and variational bayes. Frontiers in Psychology, 7, 1422. doi:10.3389/fpsyg.2016.01422. ,

Link: https://doi.org/10.3389/..

15

Anti‐inflammatory M2 type macrophages characterize metastas..:

van Dongen, Minka ; Savage, Nigel D.L. ; Jordanova, Ekaterina S....
International Journal of Cancer. 127 (2010) 4 - p. 899-909 , 2010

Link: https://doi.org/10.1002/..