Results 61 to 70 of about 683,649 (179)

Learning Curve, Survival Curve [PDF]

JCO Global Oncology, 2020
Reena George, Thotampuri Shanthi Prasoona, Ramu Kandasamy, Shakila Murali, Roja Rekha, Thenmozhi Mani   +5 more
openaire   +3 more sources

Learning curves for Soft Margin Classifiers

, 2002
Typical learning curves for Soft Margin Classifiers (SMCs) learning both realizable and unrealizable tasks are determined using the tools of Statistical Mechanics.
Gordon, Mirta B., Risau-Gusman, Sebastian   +1 more
core   +1 more source

Learning a spin glass: determining Hamiltonians from metastable states

, 1997
We study the problem of determining the Hamiltonian of a fully connected Ising Spin Glass of $N$ units from a set of measurements, whose sizes needs to be ${\cal O}(N^2)$ bits.
Biehl, Copelli, Kanter, Kanter, Kinouchi, N. Caticha, O. Kinouchi, Palmer, Roberts, S.M. Kuva, Watkin   +10 more
core   +2 more sources

A Model for Learning-Curve Estimation in Efficient Neural Architecture Search and Its Application in Predictive Health Maintenance

Mathematics
A persistent challenge in machine learning is the computational inefficiency of neural architecture search (NAS), particularly in resource-constrained domains like predictive maintenance.
David Solís-Martín, Juan Galán-Páez, Joaquín Borrego-Díaz   +2 more
doaj   +1 more source

Laparoscopic retroperitoneal nephrectomy: overcoming the learning curves

Indian Journal of Urology, 2005
Objective: To assess the results of retroperitoneal laparoscopic nephrectomy at a single centre. Materials and methods: A retrospective study of 40 patients (group A: initial 20, group B: late 20 cases) who underwent retroperitoneal laparoscopic ...
P R Modi, G V Kadam, S Dodia, R Jain, R Patel, A Devra   +5 more
doaj   +1 more source

SIDRA: a blind algorithm for signal detection in photometric surveys

, 2015
We present the Signal Detection using Random-Forest Algorithm (SIDRA). SIDRA is a detection and classification algorithm based on the Machine Learning technique (Random Forest).
Alsubai, K. A., Bachelet, E., Bramich, D. M., Mislis, D., Parley, N.   +4 more
core   +1 more source

Sophocles’ Learning Curve

, 2007
Abstract Two of the most influential mid-20th-century discussions of Sophocles' style operated by trying to fit the surviving plays to the threefold scheme; the most recent, and very thorough, discussion of The Language of Sophocles (Budelmann (2000) ), cites it in the third sentence of the first page.
openaire   +2 more sources

Explicit Learning Curves for Transduction and Application to Clustering and Compression Algorithms

, 2011
Inductive learning is based on inferring a general rule from a finite data set and using it to label new data. In transduction one attempts to solve the problem of using a labeled training set to label a set of unlabeled points, which are given to the ...
Derbeko, P., El-Yaniv, R., Meir, R.
core   +1 more source

Forecasting the Electronification of Payments with Learning Curves: The Case of Finland [PDF]

This paper examines the electronification of noncash payments in Finland and the extent to which noncash payment means are used as substitutes for cash. We model the processes of cash substitution and electronification of payments as 'S'-shaped learning ...
Snellman, Jussi, Vesala, Jukka
core  

Expert insights into future trajectories: assessing cost reductions and scalability of carbon dioxide removal technologies

Frontiers in Climate
IntroductionTo achieve net-zero targets, it is essential to evaluate and model the costs and scalability of emerging carbon dioxide removal technologies like direct air capture with CO2 storage (DACCS) and bioenergy with carbon capture and storage (BECCS)
Manon Abegg, Manon Abegg, Zeynep Clulow, Lucrezia Nava, Lucrezia Nava, David M. Reiner   +5 more
doaj   +1 more source