perm filename JUNE.ABS[BIB,CSR]1 blob sn#413876 filedate 1979-02-01 generic text, type C, neo UTF8

COMMENT ⊗ VALID 00008 PAGES C REC PAGE DESCRIPTION C00001 00001 C00002 00002 .DEVICE XGP C00003 00003 .once center C00005 00004 STAN-CS-79-710 C00006 00005 STAN-CS-78-711 C00010 00006 STAN-CS-79-712 C00011 00007 STAN-CS-79-713 C00013 00008 AIM-322 C00016 ENDMK C⊗; .DEVICE XGP; . .turn on "↔" for "→" .turn on "%,π,α,#,&,∂,↑,↓,[,]" .turn on "∩" for "↑" .turn on "∪" for "↓" . .font 1 "nonm"; .font 2 "baxm30"; .font 3 "math30"; .font 4 "fix25"; .font 5 "grkl30"; . .sides←1; .require "twocol.pub[sub,sys]" source file; . .SELECT 1 .at "@" ⊂"####"⊃ .at "|cd" ⊂"%3α*%*"⊃ .at "≤" ⊂"%4α≤%*"⊃ . .at "!!" txt ";" ⊂ .("txt"[1]&"∩["&"txt"[2]&"]&∪[ "&"txt"[3]&"]"); . ⊃ . .PLACE TEXT; . .next page .once center %1MOST RECENT CS REPORTS - JUNE 1979 @Listed below are abstracts of the most recent reports published by the Computer Science Department of Stanford University. @TO REQUEST REPORTS: Check the appropriate places on the enclosed order form, and return the entire order form page (including mailing label) by June 29, 1979. In many cases we can print only a limited number of copies, and requests will be filled on a first come, first serve basis. If the code (FREE) is printed on your mailing label, you will not be charged for hardcopy. This exemption from payment is limited primarily to libraries. (The costs shown include all applicable sales taxes. PLEASE SEND NO MONEY NOW, WAIT UNTIL YOU GET AN INVOICE.) @ALTERNATIVELY: Copies of most Stanford CS Reports may be obtained by writing (about 2 months after MOST RECENT CS REPORTS listing) to NATIONAL TECHNICAL INFORMATION SERVICE, 5285 Port Royal Road, Springfield, Virginia 22161. Stanford Ph.D. theses are available from UNIVERSITY MICROFILMS, 300 North Zeeb Road, Ann Arbor, Michigan 48106. .begin nofill --↔-- --↔-- .end STAN-CS-79-710 .once preface 0 @NUMERICAL COMPUTATION OF THE SCHWARZ-CHRISTOFFEL TRANSFORMATION Author: Lloyd Trefethen @ABSTRACT: .begin nofill No. of pages: 60 Cost: $ 3.40 --↔-- .end STAN-CS-78-711 .once preface 0 @VERSION SPACES: AN APPROACH TO CONCEPT LEARNING Author: Tom Michael Mitchell↔(Thesis) @ABSTRACT: A method is presented for learning general descriptions of concepts from a sequence of positive and negative training instances. This method involves examining a predetermined space or language of possible concept descriptions, finding those which are consistent with the observed training instances. Rather than use heuristic search techniques to examine this concept description space, the subspace (version space) of all plausible concept descriptions is represented and updated with each training instance. This version space approach determines all concept descriptions consistent with the training instances, without backtracking to reexamine past training instances or previously rejected concept descriptions. @The computed version space summarizes the information within the training instances concerning the identity of the concept to be learned. Version spaces are therefore useful for making reliable classifications based upon partially learned concepts, and for proposing informative new training instances to direct further learning. The uses of version spaces for detecting inconsistency in the training instances, and for learning in the presence of inconsistency are also described. @Proofs are given for the correctness of the method for representing version spaces, and of the associated concept learning algorithm, for any countably infinite concept description language. Empirical results obtained from computer implementations in two domains are presented. The version space approach has been implemented as one component of the Meta-DENDRAL program for learning production rules in the domain of chemical spectroscopy. Its implementation in this program is described in detail. .begin nofill No. of pages: 216 Cost: $ 7.75 --↔-- .end STAN-CS-79-712 .once preface 0 @THE ERRATA OF COMPUTER PROGRAMMING Author: Donald E. Knuth @ABSTRACT: This report lists all corrections and changes of Volumes 1 and 3 of %2The Art of Computer Programming%1, as of January 5, 1979. This updates the previous list in report CS-551, May 1976. The second edition of Volume 2 has been delayed two years due to the fact that it was completely revised and put into the TEX typesetting language; since publication of this new edition is not far off, no changes to Volume 2 are listed here. .begin nofill No. of pages: 58 Cost: $ 3.35 --↔-- .end STAN-CS-79-713 .once preface 0 @A HESSENBERG-SCHUR METHOD FOR THE PROBLEM AX + XB = C Authors: Gene Golub, Stephen Nash & Charles Van Loan @ABSTRACT: One of the most effective methods for solving the matrix equation AX + XB = C is the Bartels-Stewart algorithm. Key to this technique is the orthogonal reduction of A and B to triangular form using the QR algorithm for eigenvalues. A new method is proposed which differes from the Bartels-Stewart algorithm in that A is only reduced to Hessenberg form. The resulting algorithm is between 30 and 70 percent faster depending upon the dimensions of the matrices A and B. The stability of the new method is demonstrated through a roundoff error analysis and supported by numerical tests. Finally, it is shown how the techniques described can be applied and generalized to other matrix equation problems. .begin nofill No. of pages: 50 Available in microfiche only. --↔-- .end AIM-322 .once preface 0 @A FRAMEWORK FOR CONTROL IN PRODUCTION SYSTEMS Author: Michael Georgeff @Abstract: A formal model for representing control in production systems is defined. The formalism allows control to be directly specified independently of the conflict resolution scheme, and thus allows the issues of control and nondeterminism to be treated separately. Unlike previous approaches, it allows control to be examined within a uniform and consistent framework. @It is shown that the formalism provides a basis for implementing control constructs which, unlike existing schemes, retain all the properties desired of a knowledge based system --- modularity, flexibility, extensibility and explanatory capacity. Most importantly, it is shown that these properties are not a function of the lack of control constrains, but of the type of information allowed to establish these constraints. @Within the formalism it is also possible to provide a meaningful notion of the power of control constructs. This enables the types of control required in production systems to be examined and the capacity of various schemes to meet these requirements to be determined. @Schemes for improving system efficiency and resolving nondeterminism are examined, and devices for representing such meta-level knowledge are described. In particular, the objectification of control information is shown to provide a better paradigm for problem solving and for talking about problem solving. It is also shown that the notion of control provides a basis for a theory of transformation of production systems, and that this provides a uniform and consistent approach to problems involving subgoal protection. .begin nofill No. of pages: 35 Cost: $ 2.70 --↔-- .end