Results 71 to 80 of about 601,117 (314)

A novel algorithm for online exact string matching

open access: yes, 2013
A new algorithm is presented which takes advantage of the statistical distribution of characters within the search pattern to eliminate any computational processes during the search phase.
Sahota, V., Bayford, R., Li, M.
core   +1 more source

Online Algorithms for Machine Minimization

open access: yesCoRR, 2014
In this paper, we consider the online version of the machine minimization problem (introduced by Chuzhoy et al., FOCS 2004), where the goal is to schedule a set of jobs with release times, deadlines, and processing lengths on a minimum number of identical machines. Since the online problem has strong lower bounds if all the job parameters are arbitrary,
Nikhil R. Devanur   +3 more
openaire   +2 more sources

A family of online boosting algorithms [PDF]

open access: yes2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops, 2009
Boosting has become a powerful and useful tool in the machine learning and computer vision communities in recent years, and many interesting boosting algorithms have been developed to solve various challenging problems. In particular, Friedman proposed a flexible framework called gradient boosting, which has been used to derive boosting procedures for ...
Boris Babenko   +2 more
openaire   +1 more source

Artificial Intelligence–Based Online Symptom Assessment Tools for Systemic Lupus Erythematosus Diagnosis: Patient Perspectives

open access: yesArthritis Care &Research, EarlyView.
Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein   +7 more
wiley   +1 more source

Iterative Temporal Learning and Prediction with the Sparse Online Echo State Gaussian Process [PDF]

open access: yes, 2012
16/01/14 meb. pre-print version OK to add. statement added.In this work, we contribute the online echo state gaussian process (OESGP), a novel Bayesian-based online method that is capable of iteratively learning complex temporal dynamics and producing ...
Soh, Harold   +3 more
core   +1 more source

IMPLEMENTASI ALGORITMA APRIORI UNTUK MENENTUKAN KEPUASAN MAHASISWA TERHADAP PELAYANAN SIM ONLINE UNIVERSITAS WIDYAGAMA MALANG

open access: yesJurnal Teknologi dan Manajemen Informatika, 2017
Information system is a medium to accommodate an activity that takes place in an agency or institution, whether it is administrative activities and activities in a non-administration.
Ibnu Mubarok, Fitri Marisa, Dwi Purnomo
doaj   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

open access: yesInternational Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam   +2 more
wiley   +1 more source

On Learning Path Planning Algorithm Based on Collaborative Analysis of Learning Behavior

open access: yesIEEE Access, 2020
Studying learning path planning can help find useful implicit learning behavior patterns from learners' online learning behavior data, which is conducive to helping beginners or learners with low participation to reasonably arrange the learning sequence ...
Zhaoyu Shou   +5 more
doaj   +1 more source

Convergence analysis of online algorithms [PDF]

open access: yesAdvances in Computational Mathematics, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt   +8 more
wiley   +1 more source

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