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A STRONG UNIQUENESS THEOREM FOR PLANAR VECTOR FIELDS

by unknown authors , 2001
"... Abstract. This work establishes a strong uniqueness property for a class of planar locally integrable vector fields. A result on pointwise convergence to the boundary value is also proved for bounded solutions. ..."
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Abstract. This work establishes a strong uniqueness property for a class of planar locally integrable vector fields. A result on pointwise convergence to the boundary value is also proved for bounded solutions.

USER’S GUIDE TO VISCOSITY SOLUTIONS OF SECOND ORDER PARTIAL DIFFERENTIAL EQUATIONS

by Michael G. Crandall, Hitoshi Ishii, Pierre-louis Lions , 1992
"... The notion of viscosity solutions of scalar fully nonlinear partial differential equations of second order provides a framework in which startling comparison and uniqueness theorems, existence theorems, and theorems about continuous dependence may now be proved by very efficient and striking argume ..."
Abstract - Cited by 1399 (16 self) - Add to MetaCart
The notion of viscosity solutions of scalar fully nonlinear partial differential equations of second order provides a framework in which startling comparison and uniqueness theorems, existence theorems, and theorems about continuous dependence may now be proved by very efficient and striking

Inverse Acoustic and Electromagnetic Scattering Theory, Second Edition

by David Colton , 1998
"... Abstract. This paper is a survey of the inverse scattering problem for time-harmonic acoustic and electromagnetic waves at fixed frequency. We begin by a discussion of “weak scattering ” and Newton-type methods for solving the inverse scattering problem for acoustic waves, including a brief discussi ..."
Abstract - Cited by 1061 (45 self) - Add to MetaCart
discussion of Tikhonov’s method for the numerical solution of ill-posed problems. We then proceed to prove a uniqueness theorem for the inverse obstacle problems for acoustic waves and the linear sampling method for reconstructing the shape of a scattering obstacle from far field data. Included in our

Effects with Random Assignment: Results for Dartmouth Roommates

by Bruce Sacerdote , 2001
"... This paper uses a unique data set to measure peer effects among college roommates. Freshman year roommates and dormmates are randomly assigned at Dartmouth College. I find that peers have an impact on grade point average and on decisions to join social groups such as fraternities. Residential peer e ..."
Abstract - Cited by 554 (6 self) - Add to MetaCart
This paper uses a unique data set to measure peer effects among college roommates. Freshman year roommates and dormmates are randomly assigned at Dartmouth College. I find that peers have an impact on grade point average and on decisions to join social groups such as fraternities. Residential peer

Efficient similarity search in sequence databases

by Rakesh Agrawal, Christos Faloutsos, Arun Swami , 1994
"... We propose an indexing method for time sequences for processing similarity queries. We use the Discrete Fourier Transform (DFT) to map time sequences to the frequency domain, the crucial observation being that, for most sequences of practical interest, only the first few frequencies are strong. Anot ..."
Abstract - Cited by 515 (19 self) - Add to MetaCart
We propose an indexing method for time sequences for processing similarity queries. We use the Discrete Fourier Transform (DFT) to map time sequences to the frequency domain, the crucial observation being that, for most sequences of practical interest, only the first few frequencies are strong

A tutorial on support vector machines for pattern recognition

by Christopher J. C. Burges - Data Mining and Knowledge Discovery , 1998
"... The tutorial starts with an overview of the concepts of VC dimension and structural risk minimization. We then describe linear Support Vector Machines (SVMs) for separable and non-separable data, working through a non-trivial example in detail. We describe a mechanical analogy, and discuss when SV ..."
Abstract - Cited by 3393 (12 self) - Add to MetaCart
SVM solutions are unique and when they are global. We describe how support vector training can be practically implemented, and discuss in detail the kernel mapping technique which is used to construct SVM solutions which are nonlinear in the data. We show how Support Vector machines can have very

A Comparative Study on Feature Selection in Text Categorization

by Yiming Yang, Jan O. Pedersen , 1997
"... This paper is a comparative study of feature selection methods in statistical learning of text categorization. The focus is on aggressive dimensionality reduction. Five methods were evaluated, including term selection based on document frequency (DF), information gain (IG), mutual information (MI), ..."
Abstract - Cited by 1320 (15 self) - Add to MetaCart
), a Ø 2 -test (CHI), and term strength (TS). We found IG and CHI most effective in our experiments. Using IG thresholding with a knearest neighbor classifier on the Reuters corpus, removal of up to 98% removal of unique terms actually yielded an improved classification accuracy (measured by average

Climate and atmospheric history of the past 420,000 years from the Vostok ice core,

by J R Petit , J Jouzel , D Raynaud , N I Barkov , J.-M Barnola , I Basile , M Bender , J Chappellaz , M Davisk , G Delaygue , M Delmotte , V M Kotlyakov , M Legrand , V Y Lipenkov , C Lorius , L Pé , C Ritz , E Saltzmank , M Stievenard - Antarctica. Nature , 1999
"... Antarctica has allowed the extension of the ice record of atmospheric composition and climate to the past four glacial-interglacial cycles. The succession of changes through each climate cycle and termination was similar, and atmospheric and climate properties oscillated between stable bounds. Inte ..."
Abstract - Cited by 716 (15 self) - Add to MetaCart
of the Earth's orbit 1,3 . But understanding how the climate system responds to this initial orbital forcing is still an important issue in palaeoclimatology, in particular for the generally strong ϳ100,000-year (100-kyr) cycle. Ice cores give access to palaeoclimate series that includes local

Functional discovery via a compendium of expression profiles.

by Timothy R Hughes , Matthew J Marton , Allan R Jones , Christopher J Roberts , Roland Stoughton , Christopher D Armour , Holly A Bennett , Ernest Coffey , Hongyue Dai , Ross-Macdonald , Yudong D He , Matthew J Kidd , Amy M King , Michael R Meyer , David Slade , Pek Y Lum , Sergey B Stepaniants , Daniel D Shoemaker , Julian Simon , Martin Bard - Cell, , 2000
"... provided that the cellular transcriptional response to frames encode proteins required for sterol metabodisruption of different steps in the same pathway is lism, cell wall function, mitochondrial respiration, or similar, and that there are sufficiently unique transcripprotein synthesis. We also sh ..."
Abstract - Cited by 547 (9 self) - Add to MetaCart
provided that the cellular transcriptional response to frames encode proteins required for sterol metabodisruption of different steps in the same pathway is lism, cell wall function, mitochondrial respiration, or similar, and that there are sufficiently unique transcripprotein synthesis. We also

The Small-World Phenomenon: An Algorithmic Perspective

by Jon Kleinberg - in Proceedings of the 32nd ACM Symposium on Theory of Computing , 2000
"... Long a matter of folklore, the “small-world phenomenon ” — the principle that we are all linked by short chains of acquaintances — was inaugurated as an area of experimental study in the social sciences through the pioneering work of Stanley Milgram in the 1960’s. This work was among the first to m ..."
Abstract - Cited by 824 (5 self) - Add to MetaCart
algorithm capable of finding short paths with high probability. More generally, we provide a strong characterization of this family of network models, showing that there is in fact a unique model within the family for which decentralized algorithms are effective.
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