Results 91 to 100 of about 1,212,947 (298)

Classifying with the Fine Structure of Distributions: Leveraging Distributional Information for Robust and Plausible Naïve Bayes

Machine Learning and Knowledge Extraction
In machine learning, the Bayes classifier represents the theoretical optimum for minimizing classification errors. Since estimating high-dimensional probability densities is impractical, simplified approximations such as naïve Bayes and k-nearest ...
Quirin Stier, Jörg Hoffmann, Michael C. Thrun   +2 more
doaj   +1 more source

The Fermi's Bayes Theorem

, 2005
It is curious to learn that Enrico Fermi knew how to base probabilistic inference on Bayes theorem, and that some influential notes on statistics for physicists stem from what the author calls elsewhere, but never in these notes, {\it the Bayes Theorem ...
D'Agostini, G.
core  

Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery

Med Research, EarlyView.
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu, Sanchit Arora, Dinesh Kumar, Ashish Kumar Agrawal   +3 more
wiley   +1 more source

Estimation of a closed population size of tadpoles in temporary pond

Brazilian Journal of Biology, 2017
The practice of capture-recapture to estimate the diversity is well known to many animal groups, however this practice in the larval phase of anuran amphibians is incipient.
M. S. C. S. Lima, J. Pederassi, C. A. S. Souza   +2 more
doaj   +1 more source

Analyzing the ‘Bradykinesia Complex’ in Parkinson's Disease

Movement Disorders, EarlyView.
Abstract Background Bradykinesia is the hallmark sign of parkinsonism. We recently proposed redefining bradykinesia as a complex of motor abnormalities, each reflecting separate pathophysiological elements. Objective To analyze the ‘bradykinesia complex’ in Parkinson's disease (PD) and healthy elderly individuals.
Giulia Paparella, Martina De Riggi, Antonio Cannavacciuolo, Daniele Birreci, Davide Costa, Luca Angelini, Danilo Alunni Fegatelli, Alfonso Fasano, Alberto J. Espay, Matteo Bologna   +9 more
wiley   +1 more source

Profession recommendation based on multiple intelligence for high school students [PDF]

Management Science Letters
One of the problems students often face is the lack of understanding of their interests and talents which will cause confusion in making future study choices and career plans.
Heribertus Ary Setyadi, Supriyanta Supriyanta, Diyah Ruswanti, Hartati Dyah Wahyuningsih   +3 more
doaj   +1 more source

Statistical Science and Philosophy of Science: Whrer Do / Should They Meet in 2011 (and Beyond)? [PDF]

philosophy of science, philosophy of statistics, decision theory, likelihood, subjective probability, Bayesianism, Bayes theorem, Fisher, Neyman and Pearson, Jeffreys, induction, frequentism, reliability ...
Deborah Mayo
core  

Optimal Bayes Classifiers for Functional Data and Density Ratios

, 2016
Bayes classifiers for functional data pose a challenge. This is because probability density functions do not exist for functional data. As a consequence, the classical Bayes classifier using density quotients needs to be modified.
Dai, Xiongtao, Müller, Hans-Georg, Yao, Fang   +2 more
core   +1 more source

Extending the hyper‐logistic model to the random setting: New theoretical results with real‐world applications

Mathematical Methods in the Applied Sciences, EarlyView.
We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés, Ana Navarro‐Quiles, Sorina Madalina Sferle   +2 more
wiley   +1 more source

Klasifikasi Penyebab Penyalahgunaan Narkoba Dari Berita Online Dengan Menggunakan Naive Bayes

Jurnal ELTIKOM: Jurnal Teknik Elektro, Teknologi Informasi dan Komputer, 2017
This research conducted the classification process by applying the method of classification of Naive Bayes. News article document is one form of text data that is not structured so that requires the process of cleaning data and pre-processing first.
Laili Wahyunita
doaj   +1 more source