---------------------------------------------------
        == Call for Papers and Demos ==

    ICML-2010 Workshop on BUDGETED LEARNING
            Haifa, Israel
            June 25, 2010

Submission Deadline: May 8, 2010
Notification of acceptance: May 23, 2010
---------------------------------------------------

Workshop home:
http://www.dmargineantu.net/workshop/BudgetedLearning_ICML-2010

We would like to invite submissions to the ICML-2010 workshop on BUDGETED
LEARNING. The workshop will mainly focus on algorithms and techniques that
are required to learn on a fixed budget in the presence of non-uniform cost
functions for the acquisition of feature values, labels, or entire
instances, and for prediction errors. The organizers are seeking high
quality contributions describing recent or ongoing work in the scope of
Budgeted Learning. Both theoretical and applied work is solicited;
demonstrations of experimental and/or deployed systems are especially
encouraged.

Research questions and areas of interest include:
* Active learning with limited labeling resources
* Incorporating feature acquisition costs into learning algorithms
* Handling false alarm budgets in anomaly detection
* Utility/cost structures for acquiring individual features of instances
* Planning and search with limited resources
* Online learning where learner on a budget chooses to use and pay for the
instances
* Budgeted learning of policies and sequential decision models (RL, KWIK
learning, online learning)
* Learning with limited resources in adversarial settings and limited
rationality
* Applications and their requirements for budgeted learning
* Evaluation and testing issues related to budgeted learning and decision
systems
* Intelligent user interfaces that facilitate labeling and lower
label/feature cost
* Labeled data as a commodity - Mechanical Turk and market design for
labeling


Workshop Organizers
===================
Dragos Margineantu, Boeing Research & Technology (
dragos.d.marginea...@boeing.com)
Russell Greiner, University of Alberta
Tomas Singliar, Boeing Research & Technology
Prem Melville, IBM Research (pmel...@us.ibm.com)
_______________________________________________
uai mailing list
uai@ENGR.ORST.EDU
https://secure.engr.oregonstate.edu/mailman/listinfo/uai

Reply via email to