Search Results - distributed evolution (algorithm OR (Algorithmssssic OR algorithmicsic))

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

Table of Contents: “… 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 by Chen, Tianen, Shang, Yun

Table of Contents: “… 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 by Sreedevi, Anu, Karak, Bidya Binay, Jha, Bibhuti Kumar, Gupta, Rambahadur, Banerjee, Dipankar

Table of Contents: “… 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 by Zhang, Xiyang, Liang, Chen, Qiu, Haoxuan, Wang, Hongzhi

Table of Contents: “… 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 by Gao, Zijian, Zhong, Yuanting, Ma, Zeyuan, Gong, Yue-Jiao, Guo, Hongshu

Table of Contents: “… 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 by 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.

Table of Contents: “… 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 by 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

Table of Contents: “… 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 by Atar, Rami, Wolansky, Gershon

Table of Contents: “… 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 by Hu, Pihe, Li, Shaolong, Li, Zhuoran, Pan, Ling, Huang, Longbo

Table of Contents: “… 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 by Gomez, Cristian, Solon, Kimberly, Haest, Pieter-Jan, Morley, Mark, Nopens, Ingmar, Torfs, Elena

Table of Contents: “…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 by Park, Junyoung, Kok, Neo, Gaynanova, Irina

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

Table of Contents: “…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 by Rajput, Kishansingh, Schram, Malachi, Sammuli, Brian, Lin, Sen

Table of Contents: “… 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 by Zhu, Shiwei, Fang, Guanwen, Dai, Yao, Zhou, Chichun, Zheng, Yirui, Song, Jie, Lu, Shiying, Kong, Xu

Table of Contents: “… 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 by Sinhal, Anay, Sinhal, Arpana, Sinhal, Amit

Table of Contents: “… 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 by Fang, Guanwen, Yin, Xiaolei, Zheng, Yirui, Lin, Zesen, Zhu, Shiwei, Song, Jie, Zhou, Chichun, Kong, Xu

Table of Contents: “… 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 by Gregnanin, Marco, De Smedt, Johannes, Gnecco, Giorgio, Parton, Maurizio

Table of Contents: “… 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 by Ding, Haolong, Wu, Mohan, Xu, Yin, Xu, Hua

Table of Contents: “… 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 by Kolonin, Anton

Table of Contents: “…-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 by Shi, Han-Qing, Zhang, Hai-Qing

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