Results 41 to 50 of about 15,569,368 (309)

Mixture-model adaptation for SMT [PDF]

Proceedings of the Second Workshop on Statistical Machine Translation - StatMT '07, 2007
We describe a mixture-model approach to adapting a Statistical Machine Translation System for new domains, using weights that depend on text distances to mixture components. We investigate a number of variants on this approach, including cross-domain versus dynamic adaptation; linear versus loglinear mixtures; language and translation model adaptation;
Foster, George, Kuhn, Roland
openaire   +3 more sources

Provider and Parent Perspectives on Prioritizing the “Asking and Monitoring” Pediatric Cancer Psychosocial Standards of Care

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The Standards for Psychosocial Care for Children with Cancer and Their Families (“Standards”) are evidence‐based guidelines for psychosocial care in pediatric oncology. Care related to the three “Asking and Monitoring” Standards—Assessment of Psychosocial Needs, Assessment of Financial Needs, and Monitoring Neurocognitive Problems ...
Julia B. Tager, Natalie Koskela‐Staples, Emily M. Pariseau, Michele Scialla, Kimberly Buff, Lori Wiener, Victoria Sardi Brown, Anne E. Kazak, Kimberly S. Canter   +8 more
wiley   +1 more source

Using weibull mixture distributions to model heterogeneous survival data [PDF]

, 2003
In this article we use Bayesian methods to fit a Weibull mixture model with an unknown number of components to possibly right censored survival data. This is done using the recently developed, birth-death MCMC algorithm.
Marín Díazaraque, Juan Miguel, Rodríguez Bernal, María Teresa, Marín, J. Miguel, Wiper, Michael Peter, Wiper, Michael P., Rodríguez Bernal, M. T.   +5 more
core   +1 more source

Mixture model averaging for clustering [PDF]

Advances in Data Analysis and Classification, 2014
In mixture model-based clustering applications, it is common to fit several models from a family and report clustering results from only the `best' one. In such circumstances, selection of this best model is achieved using a model selection criterion, most often the Bayesian information criterion.
Yuhong Wei, Paul D. McNicholas
openaire   +2 more sources

Neuropsychological and Educational Outcomes in Shwachman–Diamond Syndrome—A Report From the North American Shwachman–Diamond Syndrome Registry

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Shwachman–Diamond syndrome (SDS) is a rare autosomal recessive ribosomopathy characterized by bone marrow failure and multisystem involvement, with emerging evidence of associated neurocognitive impairment. Methods We conducted a retrospective study of 240 individuals with biallelic Shwachman–Bodian–Diamond syndrome (SBDS) mutations
Jane Koo, Melissa Gerstle, Leah Cheng, Richard Cooper, Katherine Coyne, Claire Dusa, Naomi E. Joffe, Diana Schwarz, Sarah Steltz, Akiko Shimamura, Kasiani C. Myers, Thea Quinton   +11 more
wiley   +1 more source

On Learning Mixture Models for Permutations [PDF]

Proceedings of the 2015 Conference on Innovations in Theoretical Computer Science, 2015
In this paper we consider the problem of learning a mixture of permutations, where each component of the mixture is generated by a stochastic process. Learning permutation mixtures arises in practical settings when a set of items is ranked by different sub-populations and the rankings of users in a sub-population tend to agree with each other.
CHIERICHETTI, FLAVIO, A. Dasgupta, R. Kumar, S. Lattanzi   +3 more
openaire   +2 more sources

A Situational Assessment of the Diagnostic Landscape and Organizational Readiness to Implement Next‐Generation Sequencing at Two Childhood Cancer Treatment Centers in Ghana

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Next‐generation sequencing (NGS) has emerged as a promising approach to improve diagnostic accuracy, but its feasibility in low‐ and middle‐income countries remains unknown. This study characterized the diagnostic landscape and assessed organizational readiness for NGS implementation at two childhood cancer treatment centers in Accra ...
Melissa Carvalho, Emmanuella Amoako, Nihad Salifu, Lily Gloria Tagoe, Yaw Bediako, Michelle Hermiston, Catherine Segbefia   +6 more
wiley   +1 more source

Discriminative Learning Approach Based on Flexible Mixture Model for Medical Data Categorization and Recognition

Sensors, 2021
In this paper, we propose a novel hybrid discriminative learning approach based on shifted-scaled Dirichlet mixture model (SSDMM) and Support Vector Machines (SVMs) to address some challenging problems of medical data categorization and recognition.
Fahd Alharithi, Ahmed Almulihi, Sami Bourouis, Roobaea Alroobaea, Nizar Bouguila   +4 more
doaj   +1 more source

Referral Practices and Utilisation of Paediatric Oncology Physiotherapy Services in Ghana: A Cross‐Sectional Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Physical rehabilitation is highly recognised in improving the quality of life of cancer survivors through prehabilitation, sequelae management and palliative care, yet its integration into routine care in Ghana has not been characterised, leading to potential gaps in service access.
Dorothy Ekua Adjabu, Philip Junior Nyarko, Precious Madzimbe, Kofi Adesi Kyei, Tawagidu Mohammed, Sandra Banini   +5 more
wiley   +1 more source

Estimating Mixture Models via Mixtures of Polynomials

CoRR, 2016
NIPS ...
Sida Wang 0001, Arun Tejasvi Chaganty, Percy Liang   +2 more
openaire   +3 more sources