IPNet Digest Volume 9, Number 12 December 24, 2002 Today's Editor: Patricia K. Lamm Michigan State University Today's Topics: 2003 CAIMS/SIAM Annual Meeting Textbook Preprint: Parameter Fitting and Inverse Problems Book Announcement: LS-SVMs and LS-SVMlab software Faculty Position in Computational Bioengineering at Utah Faculty Positions in Inverse Problems, Imaging, at Central FL LAA Special Issue on Accurate Solution of Eigenvalue Problems LAA Special Issue on the Numerical Solution of Markov Chains Submissions for IPNet Digest: Mail to ipnet-digest@math.msu.edu Information about IPNet: http://www.mth.msu.edu/ipnet Mail to ipnet-request@math.msu.edu ----------------------------- From: Kirsten Wilden Subject: CAIMS/SIAM Meeting Date: Thu, 12 Dec 2002 Conference Name: First Joint Meeting of CAIMS and SIAM 24th Annual Meeting of CAIMS/SCMAI 2003 SIAM Annual Meeting (AN03) Location: Queen Elizabeth Hotel, Montreal, QC, Canada Dates: June 16-20, 2003 The Call for Presentations for this conference is available at: http://www.siam.org/meetings/an03/ Deadline for submission of minisymposium proposals: January 3, 2003 Deadline for minisymposium speaker abstracts: January 23, 2003 Deadline for submission of contributed abstracts: January 23, 2003 For additional information, contact SIAM Conference Department at meetings@siam.org. ----------------------------- From: Brian Borchers Subject: Preprint of "Parameter Fitting and Inverse Problems" Date: Tue, 3 Dec 2002 Rick Aster (NMT Geophysics), Cliff Thurber (Wisconsin Geophysics), and I (NMT Math) have written the draft of textbook on parameter fitting and inverse problems aimed at first year graduate students in science and engineering. Topics include linear regression, least squares problems and the singular value decomposition, Tikhonov regularization, robust regression, iterative methods, nonlinear regression, regularization of nonlinear problems, and Bayesian methods. This book has grown out of course that Rick and I have been team teaching for the last 10 years at New Mexico Tech. Lecture notes from this course were compiled into a draft that has been used for courses at NMT and Wisconsin. The book project is under contract with Academic Press for publication in 2004. At this point we're particularly interested in finding instructors who would like to use a draft version of the textbook for courses during 2003. You can find more information about the book including the preface and table of contents at http://www.ees.nmt.edu/Geop/Classes/GEOP529.html If you would like access to a preprint of the book for your own teaching or research use, please contact me (borchers@nmt.edu) for the userid/password needed to access the book. Brian Borchers borchers@nmt.edu Department of Mathematics http://www.nmt.edu/~borchers/ New Mexico Tech Phone: 505-835-5813 Socorro, NM 87801 FAX: 505-835-5366 ----------------------------- From: Johan Suykens Subject: LS-SVMs: book announcement and LS-SVMlab software Date: Mon, 16 Dec 2002 We are glad to announce the publication of a new book J.A.K. Suykens, T. Van Gestel, J. De Brabanter, B. De Moor, J. Vandewalle, Least Squares Support Vector Machines, World Scientific Pub. Co., Singapore, 2002 http://www.esat.kuleuven.ac.be/sista/lssvmlab/book.html This book focuses on Least Squares Support Vector Machines (LS-SVMs) which are reformulations to standard SVMs. LS-SVMs are closely related to regularization networks and Gaussian processes but additionally emphasize and exploit primal-dual interpretations from optimization theory. The authors explain the natural links between LS-SVM classifiers and kernel Fisher discriminant analysis. Bayesian inference of LS-SVM models is discussed, together with methods for imposing sparseness and employing robust statistics. The framework is further extended towards unsupervised learning by considering PCA analysis and its kernel version as a one-class modelling problem. This leads to new primal-dual support vector machine formulations for kernel PCA and kernel CCA analysis. Furthermore, LS-SVM formulations are given for recurrent networks and control. In general, support vector machines may pose heavy computational challenges for large data sets. For this purpose, a method of fixed size LS-SVM is proposed where the estimation is done in the primal space in relation to a Nyström sampling with active selection of support vectors. The methods are illustrated with several examples. Contents: . Introduction . Support vector machines . Least squares support vector machines, links with Gaussian processes, regularization networks, and kernel FDA . Bayesian inference for LS-SVM models . Weighted versions and robust statistics . Large scale problems: Nystrom sampling, reduced set methods, basis formation and Fixed size LS-SVM . LS-SVM for unsupervised learning: support vector machines formulations for kernel PCA. Related methods of kernel CCA. . LS-SVM for recurrent networks and control . Illustrations and applications Readership: Graduate students and researchers in neural networks; machine learning; data-mining; signal processing; circuit, systems and control theory; pattern recognition; and statistics. Info: 308pp., Publication date: Nov. 2002, ISBN 981-238-151-1 Order information: World Scientific http://www.wspc.com/books/compsci/5089.html http://www.esat.kuleuven.ac.be/sista/lssvmlab/book.html ************************************ LS-SVMlab: Least Squares - Support Vector Machines Matlab/C Toolbox http://www.esat.kuleuven.ac.be/sista/lssvmlab/ Toolbox: . Matlab LS-SVMlab1.4 - Linux and Windows Matlab/C code . Basic and advanced versions . Functional and object oriented interface Tutorial User's Guide (100pp.): . Examples and demos . Matlab functions with help Solving and handling: . Classification, Regression . Tuning, cross-validation, fast loo, receiver operating characteristic (ROC) curves . Small and unbalanced data sets . High dimensional input data . Bayesian framework with three levels of inference . Probabilistic interpretations, error bars . hyperparameter selection, automatic relevance determination (ARD) input selection, model comparison . Multi-class encoding/decoding . Sparseness . Robustness, robust weighting, robust cross-validation . Time series prediction . Fixed size LS-SVM, Nystrom method, kernel principal component analayis (kPCA), ridge regression . Unsupervised learning . Large scale problems Related links, publications, presentations and book: http://www.esat.kuleuven.ac.be/sista/lssvmlab/ Contact: LS-SVMlab@esat.kuleuven.ac.be GNU General Public License: The LS-SVMlab software is made available for research purposes only under the GNU General Public License. LS-SVMlab software may not be used for commercial purposes without explicit written permission after contacting LS-SVMlab@esat.kuleuven.ac.be . ----------------------------- From: "Chris R. Johnson" Subject: Computational Bioengineering Faculty Position at Utah Date: Sat, 30 Nov 2002 Tenure-Track Faculty Position Scientific Computing and Imaging Institute and Bioengineering Department at the University of Utah Applications are invited for an assistant professor level, tenure-track faculty position at the Scientific Computing and Imaging (SCI) Institute and the Department of Bioengineering at the University of Utah. The SCI Institute is an interdisciplinary research institute consisting of approximately 65 scientists, staff, and students dedicated to advancing the development and application of computing, scientific visualization, and numerical mathematics to topics a wide variety of fields such as bioelectric fields in the heart and brain, multimodal imaging, and combustion. The SCI Institute currently houses two National research centers: the NIH Center for Bioelectric Field Modeling, Simulation, and Visualization and the DOE Advanced Visualization Technology Center. The Bioengineering Department has an international reputation for research and graduate education with particular strengths in biobased engineering, biomaterials, biomechanics, biomedical computing/imaging, controlled chemical delivery, tissue engineering and neural interfaces. Tenure-track faculty typically have primary appointments within College of Engineering and secondary appointments within the Health Sciences. The Department is home to approximately 100 graduate students and 90 upper-level undergraduate students. The successful candidate will be expected to maintain/establish a strong extramurally funded research program consistent with the research mission of the SCI Institute, and participate in undergraduate/graduate teaching consistent with the educational mission of the Department of Bioengineering. The candidate should have a doctoral degree in a field related to biomedicine or engineering and have demonstrated research skills, ideally with 2 or more years of postdoctoral experience. A strong record of experience in the application of computational techniques to one or more fields of biomedical research is also necessary. Specific areas of relevant, established strength in the SCI Institute include cardiac and neurologic electrophysiology, biomedical image and signal processing, and bioelectric and biomagnetic fields. The candidate must be prepared to seek and secure ongoing extramural research support, collaborate closely with researchers in interdisciplinary projects, and establish or maintain an international presence in his or her field. A complete CV, names of three references, and a short description of current research activities, teaching experience, and career goals should be sent to: Director Scientific Computing and Imaging Institute, University of Utah 50 So. Central Campus Drive, Rm. 3490 Salt Lake City, UT 84112 Email: crj@sci.utah.edu Web: www.sci.utah.edu Review of applications will begin December 1, 2002 and continue until selection of a candidate is complete. The University of Utah, an AA/EO employer, encourages applications from women and minorities, and provides reasonable accommodation to the known disabilities of applicants and employees. ----------------------------- From: "Linda Philabaum" Subject: Faculty Positions Date: Fri, 06 Dec 2002 UNIVERSITY OF CENTRAL FLORIDA Orlando, Florida The Mathematics Department of the University of Central Florida invites applications in the areas of Algebraic Combinatorics and Graph Theory, Inverse Problems, Tomography and Medical Imaging, Stochastic Partial Differential Equations, Nonlinear Functional Analysis and its Applications (e.g., to integral equations, material science, etc.), Harmonic Analysis and Signal Processing for fall semester of 2003. The department reserves the right to broaden any definition of the above areas in order to include strong applications in closely related areas as the department wishes. The department seeks to fill up to five tenure-track Assistant Professor positions. All applicants must possess a Ph.D. in Mathematics or Applied Mathematics or Mathematical Sciences at the time their application is submitted. Excellence in research and teaching is required. Ability to attract external funding and interest in interdisciplinary research are desirable. Preference will be given to those applicants with contributions and interests in both theory and applications and to those who would strengthen and interact with the focused research groups that currently exist in the department (see www.math.ucf.edu for the department's website). The department also seeks applications at the Associate Professor or Professor level for a position in any one of the areas described above. For this level, the ability to attract research funding and an interest in interdisciplinary research are required in addition to the qualifications listed above. The department also seeks applicants to fill two postdoctoral positions in any of the above areas. Applicants for a postdoctoral position must have their Ph.D. in Mathematics by July 31, 2003, and must demonstrate excellence in teaching and the ability to do research. All applications should be sent to: Faculty Search Committee Mathematics Department University of Central Florida P.O. Box 161364 Orlando, FL 32816-1364 Applicants should state in their cover letter for which type of position they are applying. Note the different requirements above for each type of position. In addition to their resumes applicants for the Assistant Professor and Postdoctoral positions should have three letters from references sent to the Search Committee. Consideration of applications will begin January 5, 2003 and will continue until the positions are filled or the department closes the search. For clarification a maximum of eight positions are available to be filled. UCF is an affirmative action employer and all qualified individuals are invited to apply. Applications materials, including transcripts, are public documents available for review upon request. UNIVERSITY OF CENTRAL FLORIDA Orlando, Florida The Mathematics Department of the University of Central Florida seeks to fill two tenure-track Assistant or Associate Professor positions for the fall semester of 2003 in the areas of Nonlinear Waves and Modeling. The successful applicants must possess a Ph.D. in Applied Mathematics, Mathematics, or a related area at the time their application is submitted. Excellence in research and teaching is required, as well as ability to attract external funding. Interest in interdisciplinary research is desirable. Preference will be given to those applicants whose contributions and interests in both theory and applications closely match those that currently exist in the department (see www.math.ucf.edu). All applications should be sent to: Professor D.J. Kaup Nonlinear Waves Search Committee Mathematics Department University of Central Florida P.O. Box 161364 Orlando, FL 32816-1364 Applicants must state in their cover letter that they are applying for the Nonlinear Waves position. In addition to their resumes, applicants are requested to provide the names, addresses, phone numbers, and e-mail addresses of three or more references. Consideration of applications will begin December 1, 2002. Other applications will be considered until the positions are filled. UCF is an affirmative action employer and all qualified individuals are invited to apply. Application materials, including transcripts, are public documents available for review upon request. Submitted by: Linda Philabaum, Adm. Assistant Department of Mathematics (407) 823-2587 (407) 823-6253 (FAX) University of Central Florida 4000 Central Florida Blvd. Orlando, Florida 32816-1364 ----------------------------- From: Jesse Barlow Subject: LAA Special Issue on Accurate Solution of Eigenvalue Problems Date: Sun, 1 Dec 2002 Second Announcement Special Issue of Linear Algebra and Its Applications ACCURATE SOLUTION OF EIGENVALUE PROBLEMS III In the last several years, there have been a number of advances in the accurate solution of eigenvalue problems. Many of the results have come from the realization that eigenvalue algorithms that exploit the structure of the problem can lead to more accurate eigenvalue and eigenvector computations. To recognize these advances and to encourage further advances, we are proposing to have a third special issue of Linear Algebra and Its Applications on Accurate Solution of Eigenvalue Problems. This is the third such special issue. The first was volume 309 of Linear Algebra and Its Applications, published in early 2000, the second will appear sometime in 2002. This special issue is in coordination with the International Workshop on Accurate Solution of Eigenvalue Problems IV held in Split, Croatia on June 24-27, 2002. The participants in the workshop will be strongly encouraged to submit papers to the special issue. Submissions are also encouraged from non-participants as long as they are consistent with the themes of the workshop. The editors for this special issue will be: Jesse L. Barlow Department of Computer Science and Engineering The Pennsylvania State University University Park, PA 16802-6106 USA Beresford N. Parlett Department of Mathematics University of California at Berkeley Berkeley, CA 94720 USA Kresimir Veselic' Lehrgebiet Mathematische Physik Fernuniversitaet Hagen Postfach 940 D-58084 Hagen Germany Please submit three (3) copies of your manuscript to the editor of your choice. Manuscripts submitted to this special issue will be refereed according to standard procedures for Linear Algebra and Its Applications. All papers for this special issue should be postmarked by January 15, 2003. ----------------------------- From: Hans Schneider Subject: LAA Special Issue on the Numerical Solution of Markov Chains Date: Tue, 10 Dec 2002 LAA special issue Proceedings of the 2003 conference on the Numerical Solution of Markov Chains LAA will publish the proceedings of this conference to be held at the University of Illinois at Urbana-Champaign, September 3 - 5, 2003. The special issue editors are: Winfried Grassmann, Carl Meyer, Billy Stewart and Daniel Szyld. Papers should be submitted to billy@csc.ncsu.edu or anlangvi@unity.ncsu.edu by March 17, 2003. For details see the conference announcement at http://www.csc.ncsu.edu/nsmc2003 or at http://www.math.wisc.edu/~hans/laa.html Submitted by: Hans Schneider Mathematics Department Van Vleck Hall University of Wisconsin 480 Lincoln Drive Madison, WI 53706-1313 USA Email: hans@math.wisc.edu Office Phone: 608-262-1402 WWW: http://www.math.wisc.edu/~hans Math Dept Phone: 608-263-3054 Math Dept Fax: 608-263-8891 ------- end -------