Astrology: The Study of Astro Teller (2004) [1 citations — 0 self]
by
Stuart Andrews
,
Lijuan Cai
,
David Gondek
,
Amy Greenwald
,
Daniel Grollman
,
Arni Mar Jonsson
,
Keith Hall
,
Matthew Lease
,
Bryant Ng
,
John Raiti
,
Victoria Sweetser
,
Jenine Turner
In ICML04 Workshop Physiological Data Modeling - A Competition
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@INPROCEEDINGS{Andrews04astrology:the,
author = {Stuart Andrews and Lijuan Cai and David Gondek and Amy Greenwald and Daniel Grollman and Arni Mar Jonsson and Keith Hall and Matthew Lease and Bryant Ng and John Raiti and Victoria Sweetser and Jenine Turner},
title = {Astrology: The Study of Astro Teller},
booktitle = {In ICML04 Workshop Physiological Data Modeling - A Competition},
year = {2004}
}
author = {Stuart Andrews and Lijuan Cai and David Gondek and Amy Greenwald and Daniel Grollman and Arni Mar Jonsson and Keith Hall and Matthew Lease and Bryant Ng and John Raiti and Victoria Sweetser and Jenine Turner},
title = {Astrology: The Study of Astro Teller},
booktitle = {In ICML04 Workshop Physiological Data Modeling - A Competition},
year = {2004}
}
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Abstract:
In this paper, we describe how we address the ICML 2004 Physiological Data Modeling Contest. For the gender prediction task, we employ 5 o#-the-shelf machine learning methods: decision tree, neural networks, naive bayes, logistic regression, and Support Vector Machines. We use neural networks for the context prediction tasks. Most of the methods perform reasonably well, acknowledging the success of machine learning as a field. Moreover, we point out that characteristic attributes are highly correlated to the gender in the training data. Hence we argue if using characteristics for the gender prediction will generalize well.
Citations
| 1073 | A.J.: Learning with Kernels – Schölkopf, Smola - 2002 |
| 615 | Generalized linear models – Nelder, Wedderburn - 1972 |
| 496 | Accurate methods for the statistics of surprise and coincidence – Dunning - 1993 |
| 41 | Kernel logistic regression and the import vector machine – Zhu, Hastie - 2001 |
| 10 | Statistics in Language Studies – Woods, Fletcher, et al. - 1986 |
