Results 71 to 80 of about 601,117 (314)
A novel algorithm for online exact string matching
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
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
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A family of online boosting algorithms [PDF]
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
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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]
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
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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
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
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]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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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

