Results 41 to 50 of about 2,891,657 (252)

Rethinking statistical learning theory: learning using statistical invariants [PDF]

Machine Learning, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Vladimir Vapnik, Rauf Izmailov
openaire   +1 more source

Non-linear Learning for Statistical Machine Translation

, 2015
Modern statistical machine translation (SMT) systems usually use a linear combination of features to model the quality of each translation hypothesis. The linear combination assumes that all the features are in a linear relationship and constrains that ...
Chen, Huadong, Chen, Jiajun, Dai, Xinyu, Huang, Shujian   +3 more
core   +1 more source

Prolonged Corrected QT Interval as an Early Electrocardiographic Marker of Cyclophosphamide‐Induced Cardiotoxicity in Pediatric Hematology and Oncology Patients

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cyclophosphamide (CY) is associated with potentially fatal cardiotoxicity, yet no electrocardiographic indices have been established for early detection of CY‐induced cardiomyopathy. This study aimed to determine whether corrected QT interval (QTc) prolongation can predict early onset of CY‐related cardiac dysfunction in pediatric ...
Junpei Kawamura, Kentaro Ueno, Takuro Nishikawa, Yoshihiro Takahashi, Koji Nakae, Yasuhiro Okamoto   +5 more
wiley   +1 more source

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +1 more source

Stacking Ensemble Learning for Genomic Prediction Under Complex Genetic Architectures

Agronomy
Genomic selection (GS) estimates the GEBV from genome-wide markers to reduce generation intervals and optimize germplasm selection, which is particularly advantageous for high-cost or late-expressed traits.
Maurício de Oliveira Celeri, Moyses Nascimento, Ana Carolina Campana Nascimento, Filipe Ribeiro Formiga Teixeira, Camila Ferreira Azevedo, Cosme Damião Cruz, Laís Mayara Azevedo Barroso   +6 more
doaj   +1 more source

Psychological Safety Among Interprofessional Pediatric Oncology Teams in Germany: A Nationwide Survey

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Psychological safety (PS) is essential for teamwork, communication, and patient safety in complex healthcare environments. In pediatric oncology, interprofessional collaboration occurs under high emotional and organizational demands. Low PS may increase stress, burnout, and adverse events.
Alexandros Rahn, Anna‐Lena Herbach, Christian Bock, Katharina Fleig, Urs Mücke   +4 more
wiley   +1 more source

Predicting the Future Burden of Renal Replacement Therapy in Türkiye Using National Registry Data and Comparative Modeling Approaches

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic kidney disease is a growing public health problem worldwide, and the number of patients requiring renal replacement therapy is steadily increasing. Türkiye has experienced a similar rise in both the incidence and prevalence of renal replacement therapy over the past decades; however, national‐level projections of future ...
Arzu Akgül, Neriman Sıla Koç, Berrak Itır Aylı   +2 more
wiley   +1 more source

Assessment of bowel cleansing quality in colon capsule endoscopy using machine learning: a pilot study

Endoscopy International Open, 2018
Background and study aims The aim of this study was to develop a machine learning-based model to classify bowel cleansing quality and to test this model in comparison to a pixel analysis model and assessments by four colon capsule endoscopy (CCE) readers.
Maria Magdalena Buijs, Mohammed Hossain Ramezani, Jürgen Herp, Rasmus Kroijer, Morten Kobaek-Larsen, Gunnar Baatrup, Esmaeil S. Nadimi   +6 more
doaj   +1 more source

Atomic-scale representation and statistical learning of tensorial properties

, 2019
This chapter discusses the importance of incorporating three-dimensional symmetries in the context of statistical learning models geared towards the interpolation of the tensorial properties of atomic-scale structures.
Alred J. M., Bartók A. P., Bartók A. P., Bartók A. P., Behler J., Bereau T., Bereau T., Braams B. J., Brockherde F., Calderon C. E., Ceriotti M., Chandrasekaran A., Christensen A. S., De S., Glielmo A., Glielmo A., Grisafi A., Grisafi A., Hättig C., Jain A., Kaufmann K., Kondor R., Li Z., Liang C., Musil F., Shapeev A., Stone A. J., Ward L., Weinert U., Wilkins D. M., Willatt M. J., Willatt M. J., Williams C. K. I., Yuan Y., Zhang L.   +34 more
core   +1 more source

Improving PARP inhibitor efficacy in bladder cancer without genetic BRCAness by combination with PLX51107

Molecular Oncology, EarlyView.
Clinical trials on PARP inhibitors in urothelial carcinoma (UC) showed limited efficacy and a lack of predictive biomarkers. We propose SLFN5, SLFN11, and OAS1 as UC‐specific response predictors. We suggest Talazoparib as the better PARP inhibitor for UC than Olaparib.
Jutta Schmitz, Anna L. Bartkowiak, Michael Rose, Nora Kolks, Patrick Petzsch, Vandana Solanki, Anne Stoffel, Bianca Faßbender, Leandra Lepping, Julka Volkamer, Karl Köhrer, Marc Seifert, Tokameh Mahmoudi, Tahlita C. M. Zuiverloon, Günter Niegisch, Michèle J. Hoffmann   +15 more
wiley   +1 more source