Results 41 to 50 of about 2,165,044 (267)

Induction as model selection [PDF]

Proceedings of the National Academy of Sciences, 2008
Overview of hierarchical Bayesian approach to learning structural form proposed by Kemp and Tenenbaum (3), using examples of similarities among a set of animals. (A) The data at the bottom, in the form of a feature vector for each animal, can potentially be produced by alternative forms (ring, partition, tree, order, hierarchy) that can take on many ...
openaire   +2 more sources

Model Selection and Post Selection to Improve the Estimation of the ARCH Model

Journal of Risk and Financial Management, 2022
The Autoregressive Conditionally Heteroscedastic (ARCH) model is useful for handling volatilities in economical time series phenomena that ARIMA models are unable to handle. The ARCH model has been adopted in many applications that contain time series data such as financial market prices, options, commodity prices and the oil industry.
Marwan Al-Momani, Abdaljbbar B. A. Dawod
openaire   +2 more sources

Handwritten Digit Recognition: Hyperparameters-Based Analysis

Applied Sciences, 2020
Neural networks have several useful applications in machine learning. However, benefiting from the neural-network architecture can be tricky in some instances due to the large number of parameters that can influence performance.
Saleh Albahli, Fatimah Alhassan, Waleed Albattah, Rehan Ullah Khan   +3 more
doaj   +1 more source

Selecting Models with Judgment [PDF]

SSRN Electronic Journal, 2018
A statistical decision rule incorporating judgment does not perform worse than a judgmental decision with a given probability. Under model misspecification, this probability is unknown. The best model is the least misspecified, as it is the one whose probability of underperforming the judgmental decision is closest to the chosen probability.
openaire   +2 more sources

Are Fertility Preservation Procedures Before Gonadotoxic Therapy and Hematopoietic Stem Cell Transplantation Feasible and Safe in Very Young Children? A Retrospective Cohort Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Fertility preservation (FP) is increasingly integrated into the care of pediatric patients exposed to gonadotoxic therapy or conditioning for hematopoietic stem cell transplantation (HSCT), yet perioperative data in infants and toddlers remain scarce.
Kerstin Saalabian, Yannick Braun, Till‐Martin Theilen, Anke Barnbrock, Theresa Rohm, Fabienne Hammant, Nicole Sänger, Aynura Abbasova‐Semiz, Jan‐Henning Klusmann, Thomas Klingebiel, Udo Rolle, Peter Bader, Henning C. Fiegel, Andrea Jarisch   +13 more
wiley   +1 more source

Developing a predictive model for the energy content of goat milk as the basis for a functional unit formulation to be used in the life cycle assessment of dairy goat production systems

Animal, 2018
Recent reports on livestock environmental impact based on life cycle assessment (LCA) did not fully consider the case of the dairy goat. Assignment of an environmental impact (e.g.
P.P. Danieli, B. Ronchi
doaj   +1 more source

Predictive Bayesian selection of multistep Markov chains, applied to the detection of the hot hand and other statistical dependencies in free throws [PDF]

Royal Society Open Science, 2019
Consider the problem of modelling memory effects in discrete-state random walks using higher-order Markov chains. This paper explores cross-validation and information criteria as proxies for a model’s predictive accuracy. Our objective is to select, from
Joshua C. Chang
doaj   +1 more source

Central Nervous System Neuroblastoma, FOXR2‐Activated: A Pooled Analysis of Published Clinical Outcomes

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) neuroblastoma, FOXR2‐activated, is a recently recognized entity in the WHO CNS5 classification, defined by activation of the FOXR2 transcription factor and unique histopathological features. This review synthesizes available literature and pooled clinical data, providing insight into demographics ...
Sudarshawn Damodharan, Mohamed S. Abdelbaki   +1 more
wiley   +1 more source

Knowledge-Guided Symbolic Regression for Interpretable Camera Calibration

Journal of Imaging
Calibrating cameras accurately requires the identification of projection and distortion models that effectively account for lens-specific deviations. Conventional formulations, like the pinhole model or radial–tangential corrections, often struggle to ...
Rui Pimentel de Figueiredo
doaj   +1 more source

Feasibility and Safety of Somato‐Cognitive Coordination Therapy for Cerebellar Ataxia Following Pediatric Brain Tumor Treatment

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cerebellar ataxia after pediatric brain tumor treatment can cause persistent gait, balance, and speech impairment, yet no established rehabilitation strategy exists. Somato‐cognitive coordination therapy (SCCT) is a virtual reality–guided intervention designed to promote sensorimotor integration through visually constrained reaching
Masanobu Takeuchi, Takashi Matsuzawa, Jun Yamanishi, Masahiro Yoshitomi, Junji Ikeda, Shin‐Ichi Tsujimoto, Yasuteru Yamaguchi, Norio Shiba, Dhroov Pathare, Ayumi Kato, Masahiko Hara   +10 more
wiley   +1 more source