By Johan A.K. Suykens, Marco Signoretto, Andreas Argyriou
Regularization, Optimization, Kernels, and aid Vector Machines bargains a photo of the present state-of-the-art of large-scale computer studying, supplying a unmarried multidisciplinary resource for the most recent learn and advances in regularization, sparsity, compressed sensing, convex and large-scale optimization, kernel equipment, and help vector machines. including 21 chapters authored by means of top researchers in computer studying, this complete reference:
- Covers the connection among help vector machines (SVMs) and the Lasso
- Discusses multi-layer SVMs
- Explores nonparametric function choice, foundation pursuit equipment, and powerful compressive sensing
- Describes graph-based regularization tools for unmarried- and multi-task learning
- Considers regularized equipment for dictionary studying and portfolio selection
- Addresses non-negative matrix factorization
- Examines low-rank matrix and tensor-based models
- Presents complicated kernel equipment for batch and on-line laptop studying, method identity, area model, and photograph processing
- Tackles large-scale algorithms together with conditional gradient tools, (non-convex) proximal thoughts, and stochastic gradient descent
Regularization, Optimization, Kernels, and aid Vector Machines is perfect for researchers in laptop studying, development reputation, info mining, sign processing, statistical studying, and comparable areas.
By Sergey S. Stepanov (auth.)
This e-book is an advent into stochastic strategies for physicists, biologists and monetary analysts. utilizing an off-the-cuff technique, all of the invaluable mathematical instruments and methods are coated, together with the stochastic differential equations, suggest values, chance distribution features, stochastic integration and numerical modeling. various examples of sensible functions of the stochastic arithmetic are thought of intimately, starting from physics to the monetary idea. A reader with easy wisdom of the chance idea shouldn't have any hassle in having access to the booklet content.
By Robert Motley (Auth.)
By Vijay K. Garg
A computational standpoint on partial order and lattice conception, targeting algorithms and their purposes
This ebook presents a uniform therapy of the idea and functions of lattice concept. The purposes coated comprise monitoring dependency in dispensed structures, combinatorics, detecting worldwide predicates in allotted structures, set households, and integer walls. The ebook provides algorithmic proofs of theorems every time attainable. those proofs are written within the calculational kind encouraged by means of Dijkstra, with arguments explicitly spelled out step-by-step. The author's motive is for readers to profit not just the proofs, however the heuristics that advisor stated proofs.
''Introduction to Lattice thought with desktop technology Applications'' Examines; posets, Dilworth's theorem, merging algorithms, lattices, lattice finishing touch, morphisms, modular and distributive lattices, cutting, period orders, tractable posets, lattice enumeration algorithms, and size conception offers finish of bankruptcy workouts to assist readers hold newfound wisdom on every one topic comprises supplementary fabric at www.ece.utexas.edu/ garg
''Introduction to Lattice thought with desktop technology Applications'' is written for college kids of desktop technological know-how, in addition to training mathematicians
By David E. Goldberg
This ebook brings jointly - in a casual and instructional style - the pc suggestions, mathematical instruments, and study effects that may allow either scholars and practitioners to use genetic algorithms to difficulties in lots of fields. significant suggestions are illustrated with operating examples, and significant algorithms are illustrated via Pascal desktop courses. No earlier wisdom of gasoline or genetics is thought, and just a minimal of computing device programming and arithmetic historical past is needed. 0201157675B07092001
By Ioana Boureanu, Philippe Owesarski, Serge Vaudenay
This booklet constitutes the refereed lawsuits of the twelfth overseas convention on utilized Cryptography and community safeguard, ACNS 2014, held in Lausanne, Switzerland, in June 2014. The 33 revised complete papers integrated during this quantity have been rigorously reviewed and chosen from 147 submissions. they're geared up in topical sections on key trade; primitive development; assaults (public-key cryptography); hashing; cryptanalysis and assaults (symmetric cryptography); community safety; signatures; procedure defense; and safe computation.
By Ngoc Thanh Nguyen, Ryszard Kowalczyk
These transactions submit examine in computer-based tools of computational collective intelligence (CCI) and their purposes in quite a lot of fields reminiscent of the semantic net, social networks, and multi-agent structures. TCCI strives to hide new methodological, theoretical and functional points of CCI understood because the type of intelligence that emerges from the collaboration and festival of lots of individuals (artificial and/or natural). the applying of a number of computational intelligence applied sciences, resembling fuzzy platforms, evolutionary computation, neural structures, consensus thought, etc., goals to help human and different collective intelligence and to create new types of CCI in traditional and/or man made systems.
This twenty-second factor includes eleven conscientiously chosen and revised contributions.
By Professor Guy Jumarie (auth.)
For 4 a long time, info idea has been considered virtually completely as a conception dependent upon the Shannon degree of uncertainty and data, often known as Shannon entropy. because the book of Shannon's seminal paper in 1948, the speculation has grown tremendous quickly and has been utilized with different good fortune in just about all parts of human exercise. at the moment, the Shannon details concept is a good demonstrated and constructed physique of data. between its most vital fresh contributions were using the complementary rules of minimal and greatest entropy in facing various primary platforms difficulties comparable to predic tive structures modelling, trend acceptance, picture reconstruction, and so on. on account that its inception in 1948, the Shannon concept has been considered as a constrained info concept. It has usually been argued that the idea is able to dealing simply with syntactic facets of knowledge, yet no longer with its semantic and pragmatic facets. This limit used to be thought of a v~rtue by way of a few specialists and a vice by means of others. extra lately, notwithstanding, numerous arguments were made that the speculation may be accurately changed to account for semantic features of in formation to boot. one of the most convincing arguments during this regard are in cluded in Fred Dretske's Know/edge & move of data (The M.LT. Press, Cambridge, Mass., 1981) and during this ebook by means of man lumarie.
By Aaron R. Bradley
Computational common sense is a fast-growing box with functions in synthetic intelligence, constraint fixing, and the layout and verification of software program and platforms. Written with graduate and complicated undergraduate scholars in brain, this textbook introduces computational common sense from the rules of first-order common sense to state of the art determination methods for mathematics, info buildings, and mixture theories.This textbook additionally offers a logical method of engineering right software program. The expanding ubiquity of pcs makes imposing right platforms extra vital than ever. Verification workouts advance the reader's facility in specifying and verifying software program utilizing common sense. The remedy of verification concludes with an creation to the static research of software program, a massive portion of glossy verification systems.For readers drawn to studying extra approximately computational common sense, choice methods, verification, and different components of formal tools, the ultimate bankruptcy outlines classes of extra examine.
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