• Refine your search:
  • 
    Keyword
  • 
    Creator / Publisher:
    
    • MARYLAND UNIV COLLEGE PARK INST FOR ADVANCED COMPUTER STUDIES (5)
    • Akova, Ferit (2)
    • Alday, Phillip M. (2)
    • CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF COMPUTER SCIENCE (2)
    • Dorr, Bonnie (2)
    • Habash, Nizar (2)
    • MASSACHUSETTS UNIV AMHERST CENTER FOR INTELLIGENT INFORMATION RETRIEVAL (2)
    • Resnik, Philip (2)
    • Sassenhagen, Jona (2)
    • Schwartz, Richard (2)
    •   more
  • 
    Year
  • 
    Medium:
    
    • Online (66)
  • 
    Type
  • 
    BLLDB-Access

Search in the Catalogues and Directories

All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 Hits 1 – 20 of 66 1 A Refutation of Finite-State Language Models through Zipf’s Law for Factual Knowledge Łukasz Dębowski In: Entropy ; Volume 23 ; Issue 9 (2021) BASE Show details 2 STATISTICAL RELATIONAL LEARNING AND SCRIPT INDUCTION FOR TEXTUAL INFERENCE Mooney,Raymond. - 2017 BASE Show details 3 Confound and control in language experiments ... Alday, Phillip M.; Sassenhagen, Jona. - : figshare, 2016 BASE Show details 4 Confound and control in language experiments ... Alday, Phillip M.; Sassenhagen, Jona. - : figshare, 2016 BASE Show details 5 Structural Complexity in Linguistic Systems Research Topic 3: Mathematical Sciences Crutchfield, James P In: DTIC (2015) BASE Show details 6 A Fast Variational Approach for Learning Markov Random Field Language Models Jernite, Yacine; Rush, Alexander M; Sontag, David In: DTIC (2015) BASE Show details 7 Learning to Understand Natural Language with Less Human Effort Krishnamurthy, Jayant In: DTIC (2015) BASE Show details 8 The role of markup in the digital humanities Schmidt, Desmond In: Historical Social Research ; 37 ; 3 ; 125-146 ; Kontroversen um die Digitalen Geisteswissenschaften / Controversies around the digital humanities (2015) BASE Show details 9 Mandarin listeners can learn non-native lexical tones through distributional learning Ong, Jia (S31400); Burnham, Denis K. (R7357); Escudero, Paola (R16636). - : U.K., University of Glasgow, 2015 BASE Show details 10 A nonparametric Bayesian perspective for machine learning in partially-observed settings ... Akova, Ferit. - : IUPUI University Library, 2014 BASE Show details 11 A nonparametric Bayesian perspective for machine learning in partially-observed settings Akova, Ferit. - 2014 BASE Show details 12 The Negations of Conjunctions, Conditionals, and Disjunctions Khemlani, Sangeet; Orenes, Isabel; Johnson-Laird, P N In: DTIC (2014) BASE Show details 13 What's Wrong With Automatic Speech Recognition (ASR) and How Can We Fix It? Morgan, Nelson; Wegmann, Steven; Cohen, Jordan In: DTIC (2013) BASE Show details 14 Identität in Erzählung und im Erzählen: Versuch einer Bestimmung der Besonderheit des narrativen Diskurses für die sprachliche Verfassung von ldentität Bamberg, Michael In: Journal für Psychologie ; 7 ; 1 ; 43-55 (2012) BASE Show details 15 Coherent Demodulation of Nonstationary Random Processes Clark, Charles Pascal. - 2012 BASE Show details 16 Incremental Syntactic Language Models for Phrase-Based Translation Schwartz, Lane; Callison-Burch, Chris; Schuler, William... In: DTIC (2011) BASE Show details 17 Using Linguistic Knowledge in Statistical Machine Translation Zbib, Rabih M. In: DTIC (2010) BASE Show details 18 Related Entity Finding: University of Waterloo at TREC 2010 Entity Track Vechtomova, Olga In: DTIC (2010) BASE Show details 19 Learning for Semantic Parsing Using Statistical Syntactic Parsing Techniques Ge, Ruifang In: DTIC (2010) BASE Show details 20 Gibbs Sampling for the Uninitiated Resnik, Philip; Hardisty, Eric In: DTIC (2010) Abstract: This document is intended for computer scientists who would like to try out a Markov Chain Monte Carlo (MCMC) technique, particularly to do inference with Bayesian models on problems related to text processing. We try to keep theory to the absolute minimum needed, though we work through the details much more explicitly than you usually see even in "introductory" explanations. That means we've attempted to be ridiculously explicit in our exposition and notation. After providing the reasons and reasoning behind Gibbs sampling (and at least nodding our heads in the direction of theory), we work through an example application in detail -- the derivation of a Gibbs sampler for a Naive Bayes model. Along with the example, we discuss some practical implementation issues, including the integrating out of continuous parameters when possible. We conclude with some pointers to literature that we've found to be somewhat more friendly to uninitiated readers. ; Sponsored in part by the GALE program of the Defense Advanced Research Projects Agency (DARPA), the National Science Foundation (NSF), and the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), through the Army Research Laboratory. LAMP-TR-153. Keyword: *BAYES THEOREM; *GIBBS SAMPLING; *MARKOV CHAIN MONTE CARLO; *MARKOV PROCESSES; *MONTE CARLO METHOD; *NAIVE BAYES MODEL; *NATURAL LANGUAGE; *SAMPLING; *STATISTICAL INFERENCE; *TEXT PROCESSING; ALGORITHMS; AUTOCORRELATION; BETA DISTRIBUTION; COMPUTATIONAL LINGUISTICS; CONVERGENCE; DIRICHLET DISTRIBUTION; DISTRIBUTION; DOCUMENT LABELS; DOCUMENTS; EXPECTED VALUES; INITIALIZATION; INTEGRALS; JOINT DISTRIBUTION; LABELS; Linguistics; MAP(MAXIMUM A POSTERIORI ESTIMATION); MAXIMUM LIKELIHOOD ESTIMATION; MCMC(MARKOV CHAIN MONTE CARLO); Numerical Mathematics; PARAMETER ESTIMATION; PARAMETERS; POSTERIOR PROBABILITIES; PROBABILITY ESTIMATION; STATE SPACE; Statistics and Probability; VALUE URL: http://www.dtic.mil/docs/citations/ADA523027 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA523027 BASE Hide details Page: 1 2 3 4

Mobile view All Catalogues UB Frankfurt Linguistik 0 IDS Mannheim 0 OLC Linguistik 0 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 0 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 0 BDSL 0 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 0 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 66 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0