View source for LIS 2010

{{Event
 | Acronym = LIS 2010
 | Title = Learning in Intelligent Systems: FLAIRS Special Track
 | Type = Conference
 | Series = 
 | Field = Machine learning
 | Homepage = tinyurl.com/nqjb74
 | Start date = May 19, 2010 
 | End date =  May 21, 2010
 | City= Daytona
 | State = 
 | Country =  Florida USA
 | Abstract deadline = 
 | Submission deadline = Nov 23, 2009
 | Notification = 
 | Camera ready = Jan 22, 2010
}}

<pre>
Learning in Intelligent Systems

Special Track at FLAIRS 23, Daytona, Florida USA

Date posted: 22-June-2009


Organizers:

Andrew Olney, University of Memphis (aolney@memphis.edu)


Full Title: Learning in Intelligent Systems


Date: 19-May-2010 - 21-May-2010

Call Deadline: 23-Nov-2009

Location: Daytona Beach, Florida, USA

Web Site: http://tinyurl.com/nqjb74

Field(s): Machine Learning, Psychology, Neuroscience, Ethology, Biology, Economics, Computational Linguistics, Education

Email: Andrew Olney (aolney@memphis.edu)



Learning in Intelligent Systems

Special Track at

The 23rd International FLAIRS Conference

In cooperation with the American Association for Artificial Intelligence

Daytona Beach, Florida, USA


May 19th-21st, 2009

Paper submission deadline: November 23rd, 2009. 
Notifications: January 22nd, 2010.

Camara ready  version due: February 22, 2010


All accepted papers will be published as FLAIRS proceedings by the AAAI.

Call for Papers


What is Learning in Intelligent Systems?

Learning in Intelligent Systems is a development in Machine Learning that embraces an interdisciplinary perspective. Intelligent systems learn by improving through experience. This phenomenon is not restricted to human or machine and cuts across many fields, including Machine Learning, Psychology, Neuroscience, Education, Computational Linguistics, Ethology, and Economics, amongst others. Accordingly, Learning in Intelligent Systems takes an interdisciplinary approach to understanding learning, and seeks to bridge the gap between Machine Learning and other fields.


What is the GOAL of the track?

The goal of the Learning in Intelligent Systems track is to inform researchers of current problems and current efforts in extending the techniques of Machine Learning to fields studying intelligent systems.


Who might be interested?

The track of Learning in Intelligent Systems is a forum for researchers working in Machine Learning, Psychology, Neuroscience, Ethology, Biology, Economics, Computational Linguistics, Education, and related areas.


What kind of studies will be of interest?

While papers and contributions on traditional Machine Learning issues are always welcome, the track emphasizes and encourages interdisciplinary approaches by the Machine Learning community. Topics of interest include (but are in no way limited to)

1. Unsupervised learning and unlabeled data

2. Metacognition/lifetime learning

3. Semi-supervised learning

4. Graph-based approaches

5. Diffusion geometry

6. Graphical models

7. Vector space/IR models

8. Multiple modalities/learning transfer

9. Active learning

10. Learning through imitation

11. Abductive learning

12. Learning through question asking

13. Learning through play

14. Pedagogy

15. Language acquisition

16. Perceptual learning

17. One shot learning

18. Emotions and learning



Note: We invite original papers (i.e. work not previously submitted, in submission, or to be submitted to another conference during the reviewing process).


Submission Guidelines for the Learning in Intelligent Systems track

Interested authors (for the general Learning in Intelligent Systems track or the special topic) should format their papers according to AAAI formatting guidelines. The papers should be original work (i.e., not submitted, in submission, or submitted to another conference while in review). Papers should not exceed 6 pages (2 pages for a poster) and are due by November 23rd, 2009. For FLAIRS-23, the 2010 conference, the reviewing is a double blind process. Fake author names and affiliations must be used on submitted papers to provide double-blind reviewing. Papers must be submitted as PDF through the EasyChair conference system, which can be accessed through the main conference web site (http://www.FLAIRS-23.info). Note, do not use a fake name for your EasyChair login - your EasyChair account information is hidden from reviewers. Authors should indicate the special track of Learning in Intelligent Systems for submissions. The proceedings of FLAIRS will be published by the AAAI. Authors of accepted papers will be required to sign a form transferring copyright of their contribution to AAAI. An author of each accepted paper is required to register, attend, and present the paper at FLAIRS.

For researchers submitting to LIS, the following other special tracks that run alongside the main conference may be of interest:
1 Data Mining
2 Case-Based Reasoning
3 Artificial Intelligence Education
4 AI, Cognitive Semantic and Computational Linguistics : New Perspectives
5 Uncertain Reasoning
6 Applied Natural Language Processing
7 Games & Entertainment (GE) Special Track
8 AI Planning and Scheduling Special Track Proposal
9 Cognition and AI: Capturing Cognitive Plausibility and Informing Psychological Processes
10 AI and Second Language Learning
11 Computational Biology and Bioinformatics
12 Intelligent Tutoring Systems
13 DERIS

Conference Proceedings

Papers will be refereed and all accepted papers will appear in the conference proceedings, which will be published by AAAI Press.


Organizing Committee

Andrew Olney, Institute for Intelligent Systems & Department of Psychology, University of Memphis, aolney@memphis.edu


Current Program Committee

Chris Biemann, Powerset, USA 

Eric Breck, Rhodes College, USA

Brian Carse, University of the West of England Bristol, UK  

Sidney D'Mello, University of Memphis, USA

Samer Hassan, University of North Texas, USA

Henry Hexmoor, Southern Illinois University, USA  

Larry Holder, Washington State University, USA  

Khan Iftekharuddin, University of Memphis, USA

David Lin, University of Memphis, USA

Mihai Lintean, University of Memphis, USA

Zdravko Markov, Central Connecticut State University, USA  

Lee McCauley, Asynchrony Solutions, USA

Kubat Miroslav University of Miami, USA  

Uma Ramamurthy, St Jude Children's Research Hospital, USA

Robert Reynolds, Wayne State University, USA  

Carolyn Rose, Carnegie Mellon University, USA

Vasile Rus, University of Memphis, USA

Shahed Sorower, University of Memphis, USA


Further Information

Questions regarding the Learning in Intelligent Systems Special Track should be addressed to the track chair:

Andrew Olney, aolney@memphis.edu


Questions regarding any other FLAIRS special tracks should be addressed to the special track coordinator: Philip McCarthy, philmccarthy1@gmail.com



Conference Chair:
	

David C. Wilson, University of North Carolina at Charlotte, USA

Program Co-Chairs:
	

Chas Murray, Carnegie Learning, USA
Hans Guesgen, Massey University, New Zealand

Special Tracks Coordinator:
	

Philip McCarthy, University of Memphis, USA



Invited Speakers

To be announced


Conference Web Sites

Paper submission site: follow the link for submissions at http://www.FLAIRS-23.info
Learning in Intelligent Systems Special Track web page: http://tinyurl.com/nqjb74
FLAIRS-2010 conference web page: http://www.flairs-23.info/
Florida AI Research Society (FLAIRS): http://www.flairs.com 

 

 

FLAIRS 2010 home page
	</pre>This CfP was obtained from [http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=6207&amp;copyownerid=5685 WikiCFP]
Acronym	LIS 2010 +
Camera ready due	January 22, 2010 +
End date	May 21, 2010 +
Event type	Conference +
Has coordinates	29° 12' 39", -81° 1' 22"Latitude: 29.210813888889 Longitude: -81.022833333333 +
Has location city	Daytona +
Has location country	Category:USA +
Has location state	Florida +
Homepage	http://tinyurl.com/nqjb74 +
IsA	Event +
Start date	May 19, 2010 +
Submission deadline	November 23, 2009 +
Title	Learning in Intelligent Systems: FLAIRS Special Track +