Results 121 to 130 of about 82,607 (197)

Lectures and Conferences on Mathematical Statistics and Probability

, 1954
Peter Whittle, Jerzy Neyman
openalex   +2 more sources

Polymerase Chain Reaction. Perturbation Theory and Machine Learning Artificial Intelligence‐Experimental Microbiome Analysis: Applications to Ancient DNA and Tree Soil Metagenomics Cases of Study

Advanced Intelligent Systems, EarlyView.
The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez, Estefania Ascencio, Jose M. Ageitos, Lucia Feijoo, Shan He, Amirreza Daghighi, Gerardo M. Casanola‐Martin, Cristian R. Munteanu, Santiago Rodriguez Yañez, Alejandro Pazos, Harbil Bediaga, Brenda Durand Ordiales, Raquel Esteban, Ana‐Maria Heres, Jorge Curiel Yuste, Lur Epelde, Bakhtiyor Rasulev, Tomas Gonzalez, Sonia Arrasate, Humberto González‐Diaz   +19 more
wiley   +1 more source

The Structure of Deviations From Maximum Parsimony for Densely-Sampled Data and Applications for Clade Support Estimation. [PDF]

IEEE Trans Comput Biol Bioinform
Howard-Snyder W, Dumm W, Barker M, Milanov O, Winston C, Rich DH, Suchard MA, Matsen FA.   +7 more
europepmc   +1 more source

The Effect of Mathematical Connections on the Mastery of Probability Material

, 2020
Fauzan Sulman, Muhammad Taqwa, Aminah Zb, Rafzan Rafzan, Ahmad Fikri   +4 more
openalex   +2 more sources

Elastic Fast Marching Learning from Demonstration

Advanced Intelligent Systems, EarlyView.
This article presents Elastic Fast Marching Learning (EFML), a novel approach for learning from demonstration that combines velocity‐based planning with elastic optimization. EFML enables smooth, precise, and adaptable robot trajectories in both position and orientation spaces.
Adrian Prados, Brendan Hertel, Ramon Barber, Reza Azadeh   +3 more
wiley   +1 more source

A citation index bridging Hirsch's <i>h</i> and Egghe's <i>g</i>. [PDF]

PNAS Nexus
Nuermaimaiti R, Bogachev L, Voss J.
europepmc   +1 more source

An Algebraic Theory Of Probability With Application To Analysis And Mathematical Logic.

, 1954
Barron Brainerd
openalex   +1 more source

Real‐Time Sampling‐Based Model Predictive Control Based on Reverse Kullback–Leibler Divergence and Its Adaptive Acceleration

Advanced Intelligent Systems, EarlyView.
This study presents a new sampling‐based model predictive control minimizing reverse Kullback‐Leibler divergence to quickly find a local optimum. In addition, a modified Nesterov's acceleration method is introduced for faster convergence. The method is effective for real‐time simulations and real‐world operability improvement on a force‐driven mobile ...
Taisuke Kobayashi, Kota Fukumoto
wiley   +1 more source

Supervised machine learning models for predicting student mathematics performance in Somaliland primary examinations 2023. [PDF]

Sci Rep
Hassan MA, Muse AH, Nadarajah S, Muse YH.   +3 more
europepmc   +1 more source

Integrating scratch-based didactic design into probability learning: An innovative pathway toward sustainable development goals in middle school mathematics [PDF]

Siti Kholifah, Sugiman, Heri Retnawati
openalex   +1 more source