02247cmm a2200337 4500 214820322 TxAuBib 20120507120000.0 041019s2005||||||||||||||||||||||||eng|u 9780387237954 acid-free paper 038723795X acid-free paper 9780387276564 electronic bk. 0387276564 electronic bk. (OCoLC)62889003 COO eng COO N$T YDXCP GW5XE UAB DKU CNTRU OCLCQ MHW TUU OCLCQ TxAuBib Wallace, C. S, d. 2004, (Christopher S.) Statistical and inductive inference by minimum message length [electronic resource] / C.S. Wallace. New York : Springer, 2005. 1 online resource (xv, 429 p.) : ill. Information science and statistics Includes bibliographical references (p. [417]-420) and index. Inductive Inference; Information; Strict Minimum Message Length (SMML); Approximations to SMML; MML: Quadratic Approximations to SMML; MML Details in Some Interesting Cases; Structural Models; The Feathers on the Arrow of Time; MML as a Descriptive Theory; Related Work. "Statistical and Inductive Inference by Minimum Message Length will be of special interest to graduate students and researchers in Machine Learning and Data Mining, scientists and analysts in various disciplines wishing to make use of computer techniques for hypothesis discovery, statisticians and econometricians interested in the underlying theory of their discipline, and persons interested in the Philosophy of Science. The book could also be used in a graduate-level course in Machine Learning, Estimation and Model-selection, Econometrics, and Data Mining."--Jacket. Minimum message length (Information theory.) Mathematical statistics Methodology. Induction (Mathematics.) Mathematics Probability & Statistics General. Electronic books. Wallace, C.S. (Christopher S.), New York : Springer, c2005. Information science and statistics. https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=145752 EBSCOhost