IJCAI 2015 Machine Learning Track - CALL FOR PAPERS

[IJCAI 2015 Publicity Chairs]

[Apology for cross-postings]

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Machine Learning Track

CALL FOR PAPERS

24th International Joint Conference on Artificial Intelligence (IJCAI-15)
Machine Learning Track

Buenos Aires, Argentina / 25 July-1 August 2015
http://ijcai-15.org/

The Machine Learning Track Program Committee of the Twenty-fourth
International Joint Conference on Artificial Intelligence (IJCAI-15)
invites the submission of original technical papers to the Machine Learning
Track of IJCAI-15. Machine Learning is a core area of artificial
intelligence research, with implications and deep connections to computer
perception, automated cognition and intelligent behavior. As a foundational
subject, machine learning touches almost every area of artificial
intelligence as a target competence or an enabling technology. Since it is
a rapidly growing area that is driving pervasive technological change,
machine learning has developed a variety of its own sub-fields, specialized
technical tools and methodologies. To counter the perception that machine
learning research is diverging from the interests of other areas of
artificial intelligence, a strong presence in machine learning will be
maintained at IJCAI-15. In addition to highlighting top quality research,
the Machine Learning Track will also emphasize research that connects to
other areas of artificial intelligence.

Submissions are therefore invited on significant, original, and previously
unpublished research on all aspects of machine learning, with a special
encouragement for machine learning research that demonstrates clear
relevance to other areas of artificial intelligence research. General areas
of interest include, but are not limited to: probabilistic models and
methods, large margin and kernel methods, deep learning and neural
learning, ensemble methods, learning from partial labellings, unsupervised
learning, relation learning and graphs, reinforcement learning and on-line
learning, learning in games and multi-agent systems, evolutionary learning
and nature inspired learning, learning theory and machine learning
applications. We particularly welcome papers that formulate "new problems"
for machine learning and artificial intelligence research, in addition to
more traditional papers that propose "solutions" to established problems.
Such "new problem" papers will be assessed in terms of the clarity of the
proposed formulation, strength of the motivation, depth of the challenges
identified, and feasibility of the problems. Such papers can provide value
for the community identifying new paths to advancing Artificial
Intelligence. We would also like to draw attention to the IJCAI-15 theme of
"AI and the Arts" and encourage machine learning submissions that are
relevant to this theme.

SUBMISSION DETAILS

All papers submitted to the Machine Learning track are regarded as regular
submissions to IJCAI 2015. Please consult the main IJCAI 2015 Call For
Papers at http://ijcai-15.org/index.php/call-for-papers for important
dates, detailed submission instructions, (including formatting guidelines
and electronic templates), review process, and important policies (on
multiple submissions, confidentiality and conflict of interest).

IJCAI 2015 Machine Learning Track Co-chairs:
Dale Schuurmans (University of Alberta, Canada)
Zhi-Hua Zhou (Nanjing University, China)

Find IJCAI-15 on Facebook: http://www.facebook.com/ijcai15
Find IJCAI-15 on Weibo: http://weibo.com/5225989544
Follow IJCAI-15 on Twitter: https://twitter.com/ijcai15
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