Suchergebnisse - distributed evolution (algorithm OR (Algorithmssic OR (algorithmssic OR algorithmsssic)))

AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems von Xue, Zhenghai, Cai, Qingpeng, Yang, Bin, Hu, Lantao, Jiang, Peng, Gai, Kun, An, Bo

Inhaltsangabe: “… is the environment non-stationarity stemming from the continual and complex evolution of user behavior patterns over …”
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A hybrid quantum walk model unifying discrete and continuous quantum walks von Chen, Tianen, Shang, Yun

Inhaltsangabe: “… the coin mechanism of discrete walks with the Hamiltonian-driven time evolution of continuous walks …”
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Backtracking Bipolar Magnetic Regions to their emergence: Two groups and their implication in the tilt measurements von Sreedevi, Anu, Karak, Bidya Binay, Jha, Bibhuti Kumar, Gupta, Rambahadur, Banerjee, Dipankar

Inhaltsangabe: “… substantial growth during their evolution, the instances where our algorithm fails to capture the initial …”
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Adaptive Data Selection for Multi-Layer Perceptron Training: A Sub-linear Value-Driven Method von Zhang, Xiyang, Liang, Chen, Qiu, Haoxuan, Wang, Hongzhi

Inhaltsangabe: “… and selecting data for MLP training that accounts for the dynamic evolution of network parameters during …”
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Detect and Act: Automated Dynamic Optimizer through Meta-Black-Box Optimization von Gao, Zijian, Zhong, Yuanting, Ma, Zeyuan, Gong, Yue-Jiao, Guo, Hongshu

Inhaltsangabe: “… since they resemble dynamic biological evolution. However, existing evolutionary dynamic optimization …”
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Euclid preparation. XXXI. The effect of the variations in photometric passbands on photometric-redshift accuracy von Euclid Collaboration, Paltani, Stéphane, Coupon, J., Hartley, W. G., Alvarez-Ayllon, A., Dubath, F., Mohr, J. J., Schirmer, M., Cuillandre, J. -C., Desprez, G., Ilbert, O., Kuijken, K., Aghanim, N., Altieri, B., Amara, A., Auricchio, N., Baldi, M., Bender, R., Bodendorf, C., Bonino, D., Branchini, E., Brescia, M., Brinchmann, J., Camera, S., Capobianco, V., Carbone, C., Cardone, V. F., Carretero, J., Castander, F. J., Castellano, M., Cavuoti, S., Cledassou, R., Congedo, G., Conselice, C. J., Conversi, L., Copin, Y., Corcione, L., Courbin, F., Cropper, M., Da Silva, A., Degaudenzi, H., Dinis, J., Douspis, M., Dupac, X., Dusini, S., Farrens, S., Ferriol, S., Fosalba, P., Frailis, M., Franceschi, E., Franzetti, P., Galeotta, S., Garilli, B., Gillard, W., Gillis, B., Giocoli, C., Grazian, A., Haugan, S. V., Hoekstra, H., Hornstrup, A., Hudelot, P., Jahnke, K., Kümmel, M., Kermiche, S., Kiessling, A., Kilbinger, M., Kitching, T., Kohley, R., Kubik, B., Kunz, M., Kurki-Suonio, H., Ligori, S., Lilje, P. B., Lloro, I., Maiorano, E., Mansutti, O., Marggraf, O., Markovic, K., Marulli, F., Massey, R., Masters, D. C., Maurogordato, S., McCracken, H. J., Medinaceli, E., Mei, S., Melchior, M., Meneghetti, M., Merlin, E., Meylan, G., Moresco, M., Moscardini, L., Munari, E., Niemi, S. -M., Nightingale, J., Padilla, C., Pasian, F., Pedersen, K., Percival, W. J., Pettorino, V., Polenta, G., Poncet, M., Popa, L. A., Raison, F., Rebolo, R., Renzi, A., Rhodes, J., Riccio, G., Romelli, E., Roncarelli, M., Rossetti, E., Saglia, R., Sapone, D., Sartoris, B., Schneider, P., Secroun, A., Sirignano, C., Sirri, G., Skottfelt, J., Stanco, L., Starck, J. -L., Surace, C., Tallada-Crespí, P., Tereno, I., Toledo-Moreo, R., Torradeflot, F., Tutusaus, I., Valentijn, E. A., Valenziano, L., Vassallo, T., Wang, Y., Zamorani, G., Zoubian, J., Andreon, S., Aussel, H., Bardelli, S., Bolzonella, M., Boucaud, A., Di Ferdinando, D., Farina, M., Graciá-Carpio, J., Lindholm, V., Maino, D., Mauri, N., Neissner, C., Scottez, V., Zucca, E., Baccigalupi, C., Ballardini, M., Biviano, A., Blanchard, A., Borgani, S., Borlaff, A. S., Burigana, C., Cabanac, R., Cappi, A., Carvalho, C. S., Casas, S., Castignani, G., Chambers, K., Cooray, A. R., Courtois, H. M., Cucciati, O., Davini, S., De Lucia, G., Dole, H., Escartin, J. A., Escoffier, S., Finelli, F., Fotopoulou, S., Ganga, K., George, K., Gozaliasl, G., Hildebrandt, H., Hook, I., Muñoz, A. Jimenez, Joachimi, B., Kansal, V., Keihanen, E., Kirkpatrick, C. C., Loureiro, A., Macias-Perez, J., Maggio, G., Magliocchetti, M., Maoli, R., Marcin, S., Martinelli, M., Martinet, N., Matthew, S., Maurin, L., Metcalf, R. B., Monaco, P., Morgante, G., Nadathur, S., Nucita, A. A., Patrizii, L., Pollack, J. E., Popa, V., Porciani, C., Potter, D., Pourtsidou, A., Pozzetti, L., Pöntinen, M., Reimberg, P., Sánchez, A. G., Sakr, Z., Sefusatti, E., Sereno, M., Mancini, A. Spurio, Stadel, J., Steinwagner, J., Teyssier, R., Valieri, C., Valiviita, J., van Mierlo, S. E., Veropalumbo, A., Viel, M., Weaver, J. R.

Inhaltsangabe: “… extragalactic surveys. While the requirements on photo-zs for the study of galaxy evolution mostly pertain …”
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Accelerating FRB Search: Dataset and Methods von Guo, Xuerong, Wang, Han, Xiao, Yifan, Chen, Huaxi, Ke, Yinan, Miao, ChenChen, Wang, Pei, Li, Di, Jin, Chenwu, He, Ling, Feng, Yi, Zhang, Yongkun, Xu, Jiaying, Chen, Guangyong

Inhaltsangabe: “… in studying the distribution and evolution of matter in the universe. FRBs can only be observed through radio …”
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Invariance principle and McKean-Vlasov limit for randomized load balancing in heavy traffic von Atar, Rami, Wolansky, Gershon

Inhaltsangabe: “… servers whose service time distribution possesses a finite second moment. A small fraction of arrivals …”
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Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training von Hu, Pihe, Li, Shaolong, Li, Zhuoran, Pan, Ling, Huang, Longbo

Inhaltsangabe: “… at simultaneously enhancing the reliability of learning targets and the rationality of sample distribution …”
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Enhancing Accuracy and Efficiency in Calibration of Drinking Water Distribution Networks Through Evolutionary Artificial Neural Networks and Expert Systems von Gomez, Cristian, Solon, Kimberly, Haest, Pieter-Jan, Morley, Mark, Nopens, Ingmar, Torfs, Elena

Inhaltsangabe: “… The importance of drinking water distribution networks (DWDNs) as critical urban infrastructures …”
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Beyond fixed thresholds: optimizing summaries of wearable device data via piecewise linearization of quantile functions von Park, Junyoung, Kok, Neo, Gaynanova, Irina

Inhaltsangabe: “… that quantify discrepancies between the full empirical distributions of wearable device measurements …”
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Microgrids Coalitions for Energy Market Balancing von Chifu, Viorica, Pop, Cristina Bianca, Cioara, Tudor, Anghel, Ionut

Inhaltsangabe: “… With the integration of renewable sources in electricity distribution networks, the need to develop …”
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Uncertainty Guided Online Ensemble for Non-stationary Data Streams in Fusion Science von Rajput, Kishansingh, Schram, Malachi, Sammuli, Brian, Lin, Sen

Inhaltsangabe: “… by both experimental evolution and machine wear-and-tear. ML models assume stationary distribution …”
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Robustness Analysis of USmorph: I. Generalization Efficiency of Unsupervised Strategies and Supervised Learning in Galaxy Morphological Classification von Zhu, Shiwei, Fang, Guanwen, Dai, Yao, Zhou, Chichun, Zheng, Yirui, Song, Jie, Lu, Shiying, Kong, Xu

Inhaltsangabe: “… independent tests: (1) the t-distributed stochastic neighbor embedding (t-SNE) visualization reveals clear …”
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Federated Continual Learning for Privacy-Preserving Hospital Imaging Classification von Sinhal, Anay, Sinhal, Arpana, Sinhal, Amit

Inhaltsangabe: “… algorithms typically assume a static data distribution. In practice, hospitals experience continual evolution …”
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Robustness Analysis of USmorph: II. Optimizing Feature Extraction, Dimensionality Reduction, and Clustering for Unsupervised Galaxy Morphology Classification von Fang, Guanwen, Yin, Xiaolei, Zheng, Yirui, Lin, Zesen, Zhu, Shiwei, Song, Jie, Zhou, Chichun, Kong, Xu

Inhaltsangabe: “… evolution theory, showing physically plausible distributions of different types in parameter space …”
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A Generative Adversarial Graph Neural Network for Synthetic Time Series Data von Gregnanin, Marco, De Smedt, Johannes, Gnecco, Giorgio, Parton, Maurizio

Inhaltsangabe: “… distributions. GANs employ a generator-discriminator framework, where the generator creates data samples, while …”
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A NISQ-Aware Hybrid Quantum-Classical Framework for Scalable Combinatorial Optimization von Ding, Haolong, Wu, Mohan, Xu, Yin, Xu, Hua

Inhaltsangabe: “… optimization as a resource-bounded distribution evolution process. Instead of directly optimizing individual …”
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Generalized Reputation Computation Ontology and Temporal Graph Architecture von Kolonin, Anton

Inhaltsangabe: “… -agent AI framework, so the evolution of distributed multi-agent AI architecture and dynamics …”
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Learning topological defects formation with neural networks in a quantum phase transition von Shi, Han-Qing, Zhang, Hai-Qing

Inhaltsangabe: “… for neural networks. To address this, we utilize neural networks and machine learning algorithms …”
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