Results 41 to 50 of about 4,112,292 (287)

On the smoothness of nonlinear system identification

, 2020
We shed new light on the \textit{smoothness} of optimization problems arising in prediction error parameter estimation of linear and nonlinear systems.
Aguirre, Luis A., Ribeiro, Antônio H., Schön, Thomas B., Tiels, Koen, Umenberger, Jack   +4 more
core   +1 more source

Predictive Attractor Models

Advances in Neural Information Processing Systems 37
Accepted to NeurIPS ...
Ramy Mounir, Sudeep Sarkar
openaire   +3 more sources

Predictive Statistical Models for User Modeling [PDF]

User Modeling and User-Adapted Interaction, 2001
Summary: The limitations of traditional knowledge representation methods for modeling complex human behaviour led to the investigation of statistical models. Predictive statistical models enable the anticipation of certain aspects of human behaviour, such as goals, actions and preferences.
Ingrid Zukerman, David W. Albrecht
openaire   +1 more source

Survival Outcomes and Complications Among Canadian Children With Retinoblastoma: A Population‐Based Report From CYP‐C

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Retinoblastoma (RB) is the most common pediatric ocular cancer, yet population‐based data on survival and risk factors remain limited. This study aimed to describe survival in a large national RB cohort and identify predictors of death and complications.
Samuel Sassine, Ofélie Trudeau‐Ferrin, Caroline Laverdière, Patrick Hamel, Rosanne Superstein, Bénédicte Koukoui, Carole Provost, Paul C. Nathan, Vijay Ramaswamy, Furqan Shaikh, Brenda Gallie, Ashwin Mallipatna, Stephanie Kletke, Helen Dimaras, Hallie Coltin   +14 more
wiley   +1 more source

Historical snow measurements in the central and southern Apennine Mountains: climatology, variability, and trend [PDF]

The Cryosphere
This work presents an analysis of historical snow precipitation data collected in the period 1951–2001 in central and southern Apennines (Italy), an area scarcely investigated so far. To pursue this aim, we used the monthly observations of the snow cover
V. Capozzi, F. Serrapica, A. Rocco, C. Annella, C. Annella, G. Budillon   +5 more
doaj   +1 more source

Application of prediction models in clinical research

Shanghai yufang yixue, 2023
Chronic diseases have become an important public health problem for people under 70 years of age worldwide， while also causing a great economic burden.
NIU Zheyun, SHEN Jiaying, ZHANG Zihan, JIANG Dongming, ZHANG Hongwei, CAO Guangwen   +5 more
doaj   +1 more source

Online Learning for Ground Trajectory Prediction [PDF]

, 2012
This paper presents a model based on an hybrid system to numerically simulate the climbing phase of an aircraft. This model is then used within a trajectory prediction tool.
Hadjaz, Areski, Marceau, Gaétan, Savéant, Pierre, Schoenauer, Marc   +3 more
core   +2 more sources

Predicted models and CCP4

Acta Crystallographica Section D Structural Biology, 2023
In late 2020, the results of CASP14, the 14th event in a series of competitions to assess the latest developments in computational protein structure-prediction methodology, revealed the giant leap forward that had been made by Google's Deepmind in tackling the prediction problem.
Adam J. Simpkin, Iracema Caballero, Stuart McNicholas, Kyle Stevenson, Elisabet Jiménez, Filomeno Sánchez Rodríguez, Maria Fando, Ville Uski, Charles Ballard, Grzegorz Chojnowski, Andrey Lebedev, Eugene Krissinel, Isabel Usón, Daniel J. Rigden, Ronan M. Keegan   +14 more
openaire   +3 more sources

Personalized Selumetinib Dosing in Pediatric Neurofibromatosis Type 1: Insights From a Pilot Therapeutic Drug Monitoring Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács, Zoltán Köllő, Balázs Gellért Karvaly, Mahmoud Obeidat, Rita Nagy, Péter Hegyi, Brigitta Teutsch, Eszter Tuboly, Miklós Garami   +8 more
wiley   +1 more source

Prediction models in CMI [PDF]

Clinical Microbiology and Infection, 2022
Leibovici, Leonard, Rodríguez-Baño, Jesús, Chemaly, Roy F, Cutler, Sally, Csaki Huttner, Angela, Kalil, Andre C, Leeflang, Mariska, Lina, Gerard, Paul, Mical, Scudeller, Luigia, Tassios, Panayotis T, Yusuf, Erlangga   +11 more
openaire   +5 more sources