Search Results - machinery learning. computational learning theory. combinatorial optimization.

Nonlinear stochastic dynamics of detuned bladed-disks with uncertain mistuning and detuning optimization using a probabilistic machine learning tool by Capiez-Lernout, Evangéline, Soize, Christian

“… We present an efficient computational methodology for reducing the computational cost, an analysis of the detuning, and the detuning optimization, based on the use of a high-fidelity computational model…”
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A novel intelligent diagnosis method using optimal LS-SVM with improved PSO algorithm by Deng, Wu, Yao, Rui, Zhao, Huimin, Yang, Xinhua, Li, Guangyu

“…Aiming at the problem that the most existing fault diagnosis methods could not effectively recognize the early faults in the rotating machinery, the empirical mode decomposition, fuzzy information…”
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A Combinatorial Approach to Hyperparameter Optimization by Khadka, Krishna, Chandrasekaran, Jaganmohan, Lei, Yu, Kacker, Raghu N., Richard Kuhn, D.

“…In machine learning, hyperparameter optimization (HPO) is essential for effective model training and significantly impacts model performance…”
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Songs to Syntax: Cognition, Combinatorial Computation, and the Origin of Language by Berwick, Robert C

“… perception, vocalization and auditory memory. There has been convergent evolution of the capacity for auditory-vocal learning, and possibly for structuring of external…”
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Performance modeling under resource constraints using deep transfer learning by Marathe, Aniruddha, Anirudh, Rushil, Jain, Nikhil, Bhatele, Abhinav, Thiagarajan, Jayaraman, Kailkhura, Bhavya, Yeom, Jae-Seung, Rountree, Barry, Gamblin, Todd

“…Tuning application parameters for optimal performance is a challenging combinatorial problem…”
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Solving Combinatorial Games using Products, Projections and Lexicographically Optimal Bases by Gupta, Swati, Goemans, Michel, Jaillet, Patrick

“…In order to find Nash-equilibria for two-player zero-sum games where each player plays combinatorial objects like spanning trees, matchings etc, we consider two online learning algorithms…”
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Randomized Kernel Rounding for Routing, Scheduling, and Machine Learning by Farhadi, Majid

“…From Computer Science, Machine Learning, Communications, and Control Systems to Supply Chain, Finance, and Policy Making we make a sequence of choices, optimality of which can…”
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Beyond Worst-Case Analysis of Optimization in the Era of Machine Learning by Vlatakis-Gkaragkounis, Emmanouil-Vasileios

“… While WCA has provided us a thorough picture for a variety of problems over the last few decades, the advent of Machine Learn- ing era renewed our interest in several important optimization problems…”
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Overcoming Barriers to Scalability in Variational Quantum Monte Carlo by Zhao, Tianchen, De, Saibal, Chen, Brian, Stokes, James, Veerapaneni, Shravan

“… Close parallels exist between VQMC and the emerging hybrid quantum-classical computational paradigm of variational quantum algorithms…”
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Mind evolutionary computation for a kind of non-numerical optimization problems by Pei-Jun Chen, Jian-Chao Zeng

“…Mind evolutionary computation for a kind of non-numerical optimization problems is introduced, which offers a new all-purpose method for solving the non-numerical optimization…”
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