| NIPS 2006 Workshop on Causality and Feature Selection | |
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Canada - BC - Whistler |
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| Hosted by: | NIPS |
| Venue: | Westin Resort and Spa and Hilton Whistler Resort and Spa |
| Dates: | Dec 08, 2006 through Dec 08, 2006 |
| Call for Proceedings Presentations: | 2006-01-01 through 2006-11-11 |
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Description |
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| ====================================================== CALL FOR ABSTRACTS ====================================================== NIPS*06 Workshop - Whistler, BC, December 8, 2006 "Causality and Feature Selection" ====================================================== http://research.ihost.com/cws2006 Call for contributions: -------------------- Extended abstracts (1 to 4 pages long) are invited to be submitted at the causality and feature selection workshop, NIPS 2006 in Whistler. A selection of the submitted abstracts will be accepted as oral or poster presentations. The selected contributions will be invited to publish an extended version for the workshop proceedings. Important Dates: -------------------- Deadline for submissions: November 11, 2006 Notification of acceptance: November 15, 2006 Background: -------------------- This workshop explores the use of causality with predictive models in order to assess the results of given actions. Such assessment is essential in many domains, including epidemiology, medicine, ecology, economy, sociology and business. Predictive models simply based on event correlations do not model mechanisms. They allow us to make predictions in a stationary environment (no change in the distribution of all the variables), but do not allow us to predict the consequence of given actions. For instance, smoking and coughing are both predictive of respiratory disease. One is a cause and the other a symptom. Acting on the cause can change the disease state, but not acting on the symptom. Understanding the effect of interventions has been the goal of most causal models but their complexity has limited their use to a few hundreds variables. Feature selection on the other hand can handle thousands of variables at the same time but does not make a difference between causes and symptoms. By confronting the hypothesis underlying causality and feature selection approaches, this workshop aims at investigating new approaches to extract causal relationships from data. We invite therefore contributions in the area of causality and/or feature selection. Applications to other fields such as econometrics, computational biology, physics or manufacturing are welcome. For more details, please go to http://research.ihost.com/cws2006 Organizers: -------------------- * Andre Elisseeff, IBM Zurich Research Lab, Switzerland * Constantin Aliferis, Discovery Systems Laboratory, Vanderbilt University, USA * Isabelle Guyon, Clopinet, USA |
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| Additional Information | |
| Event URL: | http://research.ihost.com/cws2006 |
| ISCB Member Discount: | None |
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