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The review of economics and statistics, ISSN 1530-9142, 2012, Volume 94, Issue 4, pp. 1014 - 1024
Journal Article
Journal Article
2001, Monographs on statistics and applied probability, ISBN 9781584880714, Volume 92., xv, 304
Book
2006, Foundations and trends in communications and information theory, ISBN 9781933019321, Volume 3 issue 1/2, 2006., Issue 1/2, ix, 225
This article is focused on the performance evaluation of linear codes under optimal maximum-likelihood (ML) decoding. Though the ML decoding algorithm is... 
Coding theory | Error-correcting codes (Information theory) | Decoders (Electronics)
Book
Molecular biology and evolution, ISSN 1537-1719, 2018, Volume 35, Issue 2, pp. 518 - 522
The standard bootstrap (SBS), despite being computationally intensive, is widely used in maximum likelihood phylogenetic analyses. We recently proposed the... 
polytomies | model violation | phylogenetic inference | ultrafast bootstrap | maximum likelihood | MAXIMUM-LIKELIHOOD PHYLOGENIES | SUBSTITUTION | PROTEIN | BIOCHEMISTRY & MOLECULAR BIOLOGY | ALGORITHM | TIME | EVOLUTIONARY BIOLOGY | TREE-SPACE | EVOLUTION | MODELS | GENES | GENETICS & HEREDITY | CONFIDENCE | Likelihood Functions | Models, Genetic | Software | Phylogeny | Resources
Journal Article
Journal Article
Medical Physics, ISSN 0094-2405, 10/2006, Volume 33, Issue 10, pp. 3781 - 3795
Digital tomosynthesis mammography (DTM) is a promising new modality for breast cancer detection. In DTM, projection-view images are acquired at a limited... 
simultaneous algebraic reconstruction technique (SART) | limited-angle cone-beam tomography | maximum likelihood method with convex algorithm (ML-convex) | digital tomosynthesis mammography (DTM) | iterative methods | Medical image noise | Medical image quality | Digital tomosynthesis mammography | limited‐angle cone‐beam tomography | maximum likelihood estimation | Medical image contrast | phantoms | Medical X‐ray imaging | tomography | Numerical approximation and analysis | medical image processing | biological organs | Medical imaging | Probability theory, stochastic processes, and statistics | Mammography | image reconstruction | Diseases | Image sensors | Image analysis | Medical image reconstruction | cancer | maximum likelihood method with convex algorithm (ML‐convex) | Maximum likelihood method with convex algorithm (ML-convex) | Simultaneous algebraic reconstruction technique (SART) | Limited-angle cone-beam tomography | Digital tomosynthesis mammography (DTM) | ART | RADIOGRAPHY | IMAGE-RECONSTRUCTION | ALGORITHMS | COMPUTED-TOMOGRAPHY | TRANSMISSION TOMOGRAPHY | MAMMOGRAPHY | ALGEBRAIC RECONSTRUCTION | DIGITAL TOMOSYNTHESIS | FLAT-PANEL DETECTOR | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | Models, Theoretical | Humans | Tomography, Spiral Computed - methods | Image Processing, Computer-Assisted - methods | Models, Statistical | Artifacts | Contrast Media - pharmacology | Algorithms | Radiographic Image Interpretation, Computer-Assisted - methods | Breast Neoplasms - pathology | Computer Simulation | Mammography - instrumentation | Female | Tomography, Spiral Computed - instrumentation | Mammography - methods | Phantoms, Imaging | Breast - pathology | TOMOGRAPHY | MAMMARY GLANDS | BIOMEDICAL RADIOGRAPHY | BEAMS | NOISE | X-RAY SOURCES | IMAGE PROCESSING | IMAGES | CARCINOMAS | RADIOLOGY AND NUCLEAR MEDICINE | PHANTOMS | ITERATIVE METHODS | MAXIMUM-LIKELIHOOD FIT
Journal Article