Kindly please forward the attached conference
announcement to the inductive list.
Many thanks,
Marina Meila
NIPS 2005 Publicity Chair
__________________________________
Do you Yahoo!?
Read only the mail you want - Yahoo! Mail SpamGuard.
http://promotions.yahoo.com/new_mail
***************************************************************************
CALL FOR PAPERS: Neural Information Processing Systems - NIPS 2005
December 5-8 Vancouver, BC
***************************************************************************
www.nips.cc
Deadline for Paper Submissions: June 3, 2005
Submissions are solicited for the Nineteenth Annual meeting of an
interdisciplinary Conference (December 6-8) which brings together researchers
interested in all aspects of neural and statistical processing and computation.
The Conference will include invited talks as well as oral and poster
presentations of refereed papers. It is single track and highly selective.
Preceeding the main Conference will be one day of Tutorials (December 5), and
following it will be two days of Workshops at Whistler/Blackcomb ski resort
(December 9-10).
Papers are solicited in all areas of neural information processing, including
(but not limited to) the following:
* Algorithms and Architectures: statistical learning algorithms, neural
networks, kernel methods, graphical models, Gaussian processes, dimensionality
reduction and manifold learning, model selection, combinatorial optimization.
* Applications: innovative applications or fielded systems that use machine
learning, including systems for time series prediction, bioinformatics,
text/web analysis, multimedia processing, and robotics.
* Brain Imaging: neuroimaging, cognitive neuroscience, EEG
(electroencephalogram), ERP (event related potentials), MEG
(magnetoencephalogram), fMRI (functional magnetic resonance imaging), brain
mapping, brain segmentation, brain computer interfaces.
* Cognitive Science and Artificial Intelligence: theoretical,
computational, or experimental studies of perception, psychophysics, human or
animal learning, memory, reasoning, problem solving, natural language
processing, and neuropsychology.
* Control and Reinforcement Learning: decision and control, exploration,
planning, navigation, Markov decision processes, game-playing, multi-agent
coordination, computational models of classical and operant conditioning.
* Emerging Technologies: analog and digital VLSI, neuromorphic engineering,
computational sensors and actuators, microrobotics, bioMEMS, neural prostheses,
photonics, molecular and quantum computing.
* Learning Theory: generalization, regularization and model selection,
Bayesian learning, spaces of functions and kernels, statistical physics of
learning, online learning and competitive analysis, hardness of learning and
approximations, large deviations and asymptotic analysis, information theory.
* Neuroscience: theoretical and experimental studies of processing and
transmission of information in biological neurons and networks, including spike
train generation, synaptic modulation, plasticity and adaptation.
* Speech and Signal Processing: recognition, coding, synthesis, denoising,
segmentation, source separation, auditory perception, psychoacoustics,
dynamical systems, recurrent networks, Language Models, Dynamic and Temporal
models.
* Visual Processing: biological and machine vision, image processing and
coding, segmentation, object detection and recognition, motion detection and
tracking, visual psychophysics, visual scene analysis and interpretation.
* Demonstrations: Authors wishing to submit to the Demonstration track
should consult the Conference web site.
Review Criteria: Submissions will be refereed on the basis of technical
quality, novelty, significance, and clarity. There will be an opportunity
after the meeting to revise accepted manuscripts. We particularly encourage
submissions by authors new to NIPS, as well as application papers that combine
concrete results on novel or previously unachievable applications with analysis
of the underlying difficulty from a machine learning perspective.
For full information please refer to the NIPS website www.nips.cc
