نتایج جستجو برای: likelihood based assignment

تعداد نتایج: 3019924  

2012
Brandon Jones Mark Campbell

In this paper, we consider the agreement problem of estimating the locations of landmarks observed by multiple agents in the absence of a global frame of reference. Maximum likelihood estimators are derived from scenarios of independent and mutual landmark estimation. A triangle-based hypothesis test is proposed for the detection of common landmarks across the coordinate systems of the agents a...

Journal: :Protein science : a publication of the Protein Society 2001
L Salwinski D Eisenberg

Conventional fold recognition techniques rely mainly on the analysis of the entire sequence of a protein. We present an MBA method to improve performance of any conventional sequence-based fold assignment. The method uses sequence motifs, such as those defined in the Prosite database, and the SwissProt annotation of the fold library. When combined with a simple SDP method, the coverage of MBA i...

Journal: :Physical review letters 2013
R Aaij C Abellan Beteta B Adeva M Adinolfi C Adrover A Affolder Z Ajaltouni J Albrecht F Alessio M Alexander S Ali G Alkhazov P Alvarez Cartelle A A Alves S Amato S Amerio Y Amhis L Anderlini J Anderson R Andreassen R B Appleby O Aquines Gutierrez F Archilli A Artamonov M Artuso E Aslanides G Auriemma S Bachmann J J Back C Baesso V Balagura W Baldini R J Barlow C Barschel S Barsuk W Barter Th Bauer A Bay J Beddow F Bedeschi I Bediaga S Belogurov K Belous I Belyaev E Ben-Haim M Benayoun G Bencivenni S Benson J Benton A Berezhnoy R Bernet M -O Bettler M van Beuzekom A Bien S Bifani T Bird A Bizzeti P M Bjørnstad T Blake F Blanc J Blouw S Blusk V Bocci A Bondar N Bondar W Bonivento S Borghi A Borgia T J V Bowcock E Bowen C Bozzi T Brambach J van den Brand J Bressieux D Brett M Britsch T Britton N H Brook H Brown I Burducea A Bursche G Busetto J Buytaert S Cadeddu O Callot M Calvi M Calvo Gomez A Camboni P Campana A Carbone G Carboni R Cardinale A Cardini H Carranza-Mejia L Carson K Carvalho Akiba G Casse M Cattaneo Ch Cauet M Charles Ph Charpentier P Chen N Chiapolini M Chrzaszcz K Ciba X Cid Vidal G Ciezarek P E L Clarke M Clemencic H V Cliff J Closier C Coca V Coco J Cogan E Cogneras P Collins A Comerma-Montells A Contu A Cook M Coombes S Coquereau G Corti B Couturier G A Cowan D Craik S Cunliffe R Currie C D'Ambrosio P David P N Y David I De Bonis K De Bruyn S De Capua M De Cian J M De Miranda M De Oyanguren Campos L De Paula W De Silva P De Simone D Decamp M Deckenhoff L Del Buono D Derkach O Deschamps F Dettori A Di Canto H Dijkstra M Dogaru S Donleavy F Dordei A Dosil Suárez D Dossett A Dovbnya F Dupertuis R Dzhelyadin A Dziurda A Dzyuba S Easo U Egede V Egorychev S Eidelman D van Eijk S Eisenhardt U Eitschberger R Ekelhof L Eklund I El Rifai Ch Elsasser D Elsby A Falabella C Färber G Fardell C Farinelli S Farry V Fave D Ferguson V Fernandez Albor F Ferreira Rodrigues M Ferro-Luzzi S Filippov C Fitzpatrick M Fontana F Fontanelli R Forty O Francisco M Frank C Frei M Frosini S Furcas E Furfaro A Gallas Torreira D Galli M Gandelman P Gandini Y Gao J Garofoli P Garosi J Garra Tico L Garrido C Gaspar R Gauld E Gersabeck M Gersabeck T Gershon Ph Ghez V Gibson V V Gligorov C Göbel D Golubkov A Golutvin A Gomes H Gordon M Grabalosa Gándara R Graciani Diaz L A Granado Cardoso E Graugés G Graziani A Grecu E Greening S Gregson O Grünberg B Gui E Gushchin Yu Guz T Gys C Hadjivasiliou G Haefeli C Haen S C Haines S Hall T Hampson S Hansmann-Menzemer N Harnew S T Harnew J Harrison T Hartmann J He V Heijne K Hennessy P Henrard J A Hernando Morata E van Herwijnen E Hicks D Hill M Hoballah C Hombach P Hopchev W Hulsbergen P Hunt T Huse N Hussain D Hutchcroft D Hynds V Iakovenko M Idzik P Ilten R Jacobsson A Jaeger E Jans P Jaton F Jing M John D Johnson C R Jones B Jost M Kaballo S Kandybei M Karacson T M Karbach I R Kenyon U Kerzel T Ketel A Keune B Khanji O Kochebina I Komarov R F Koopman P Koppenburg M Korolev A Kozlinskiy L Kravchuk K Kreplin M Kreps G Krocker P Krokovny F Kruse M Kucharczyk V Kudryavtsev T Kvaratskheliya V N La Thi D Lacarrere G Lafferty A Lai D Lambert R W Lambert E Lanciotti G Lanfranchi C Langenbruch T Latham C Lazzeroni R Le Gac J van Leerdam J -P Lees R Lefèvre A Leflat J Lefrançois S Leo O Leroy B Leverington Y Li L Li Gioi M Liles R Lindner C Linn B Liu G Liu J von Loeben S Lohn J H Lopes E Lopez Asamar N Lopez-March H Lu D Lucchesi J Luisier H Luo F Machefert I V Machikhiliyan F Maciuc O Maev S Malde G Manca G Mancinelli U Marconi R Märki J Marks G Martellotti A Martens L Martin A Martín Sánchez M Martinelli D Martinez Santos D Martins Tostes A Massafferri R Matev Z Mathe C Matteuzzi E Maurice A Mazurov J McCarthy R McNulty A Mcnab B Meadows F Meier M Meissner M Merk D A Milanes M -N Minard J Molina Rodriguez S Monteil D Moran P Morawski M J Morello R Mountain I Mous F Muheim K Müller R Muresan B Muryn B Muster P Naik T Nakada R Nandakumar I Nasteva M Needham N Neufeld A D Nguyen T D Nguyen C Nguyen-Mau M Nicol V Niess R Niet N Nikitin T Nikodem A Nomerotski A Novoselov A Oblakowska-Mucha V Obraztsov S Oggero S Ogilvy O Okhrimenko R Oldeman M Orlandea J M Otalora Goicochea P Owen B K Pal A Palano M Palutan J Panman A Papanestis M Pappagallo C Parkes C J Parkinson G Passaleva G D Patel M Patel G N Patrick C Patrignani C Pavel-Nicorescu A Pazos Alvarez A Pellegrino G Penso M Pepe Altarelli S Perazzini D L Perego E Perez Trigo A Pérez-Calero Yzquierdo P Perret M Perrin-Terrin G Pessina K Petridis A Petrolini A Phan E Picatoste Olloqui B Pietrzyk T Pilař D Pinci S Playfer M Plo Casasus F Polci G Polok A Poluektov E Polycarpo D Popov B Popovici C Potterat A Powell J Prisciandaro V Pugatch A Puig Navarro G Punzi W Qian J H Rademacker B Rakotomiaramanana M S Rangel I Raniuk N Rauschmayr G Raven S Redford M M Reid A C dos Reis S Ricciardi A Richards K Rinnert V Rives Molina D A Roa Romero P Robbe E Rodrigues P Rodriguez Perez S Roiser V Romanovsky A Romero Vidal J Rouvinet T Ruf F Ruffini H Ruiz P Ruiz Valls G Sabatino J J Saborido Silva N Sagidova P Sail B Saitta C Salzmann B Sanmartin Sedes M Sannino R Santacesaria C Santamarina Rios E Santovetti M Sapunov A Sarti C Satriano A Satta M Savrie D Savrina P Schaack M Schiller H Schindler M Schlupp M Schmelling B Schmidt O Schneider A Schopper M -H Schune R Schwemmer B Sciascia A Sciubba M Seco A Semennikov K Senderowska I Sepp N Serra

The quantum numbers of the X(3872) meson are determined to be J(PC)=1(++) based on angular correlations in B(+)→X(3872)K(+) decays, where X(3872)→π(+)π(-)J/ψ and J/ψ→μ(+)μ(-). The data correspond to 1.0 fb(-1) of pp collisions collected by the LHCb detector. The only alternative assignment allowed by previous measurements J(PC)=2(-+) is rejected with a confidence level equivalent to more than 8...

2012
Roberto Micalizio Gianluca Torta

The paper introduces the notion of Temporal MultiAgent Plan (TMAP) and proposes a methodology, based on Simple Temporal Problems (STP), for detecting and diagnosing action execution delays. Actions are characterized by a finite set of behavioral modes, and each behavioral mode is a continuous interval of possible durations of the action. Nominal modes represent the expected durations, whereas f...

2004
Mostafa El-Khamy Robert J. McEliece

In this paper, we propose an iterative soft decision decoding scheme for Reed Solomon codes with near maximum likelihood performance. The advantage of this decoding algorithm over previously proposed algorithms is its fast convergence in terms of the number of iterations required. This is achieved by combining two powerful soft decision decoding techniques which were previously regarded in the ...

2007
Tian Sang Paul Beame Henry A. Kautz

The problem of Most Probable Explanation (MPE) arises in the scenario of probabilistic inference: finding an assignment to all variables that has the maximum likelihood given some evidence. We consider the more general CNF-based MPE problem, where each literal in a CNF-formula is associated with a weight. We describe reductions between MPE and weighted MAX-SAT, and show that both can be solved ...

2005
Marco E. G. V. Cattaneo

In this paper, a nonadditive quantitative description of uncertain knowledge about statistical models is obtained by extending the likelihood function to sets and allowing the use of prior information. This description, which has the distinctive feature of not being calibrated, is called relative plausibility. It can be updated when new information is obtained, and it can be used for inference ...

Journal: :Comput. Graph. Forum 2014
Hye-Rin Kim Min-Joon Yoo Henry Kang In-Kwon Lee

Color assignment is a complex task of incorporating and balancing area configuration, color harmony, and user’s intent. In this paper, we present a novel method for automatic color assignment based on theories of color perception. We define color assignment as an optimization problem with respect to the color relationships as well as the spatial configuration of input segments. We also suggest ...

2006
Zhiqiang TAN

Drawing inferences about the effects of treatments and actions is a common challenge in economics, epidemiology, and other fields. We adopt Rubin’s potential outcomes framework for causal inference and propose two methods serving complementary purposes. One can be used to estimate average causal effects, assuming no confounding given measured covariates. The other can be used to assess how the ...

Journal: :Physics in medicine and biology 2004
Jorge Llacer Nzhde Agazaryan Timothy D Solberg Claus Promberger

This paper attempts to provide an answer to some questions that remain either poorly understood, or not well documented in the literature, on basic issues related to intensity modulated radiation therapy (IMRT). The questions examined are: the relationship between degeneracy and frequency response of optimizations, effects of initial beamlet fluence assignment and stopping point, what does filt...

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