Résultats de la recherche - distributed evolution (algorithm OR algorithmsssic)

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

Table des matières: “… 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 par Chen, Tianen, Shang, Yun

Table des matières: “… 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 par Sreedevi, Anu, Karak, Bidya Binay, Jha, Bibhuti Kumar, Gupta, Rambahadur, Banerjee, Dipankar

Table des matières: “… 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 par Zhang, Xiyang, Liang, Chen, Qiu, Haoxuan, Wang, Hongzhi

Table des matières: “… 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 par Gao, Zijian, Zhong, Yuanting, Ma, Zeyuan, Gong, Yue-Jiao, Guo, Hongshu

Table des matières: “… 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 par 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 des matières: “… 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 par 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 des matières: “… 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 par Atar, Rami, Wolansky, Gershon

Table des matières: “… 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 par Hu, Pihe, Li, Shaolong, Li, Zhuoran, Pan, Ling, Huang, Longbo

Table des matières: “… 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 par Gomez, Cristian, Solon, Kimberly, Haest, Pieter-Jan, Morley, Mark, Nopens, Ingmar, Torfs, Elena

Table des matières: “…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 par Park, Junyoung, Kok, Neo, Gaynanova, Irina

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

Table des matières: “…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 par Rajput, Kishansingh, Schram, Malachi, Sammuli, Brian, Lin, Sen

Table des matières: “… 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 par Zhu, Shiwei, Fang, Guanwen, Dai, Yao, Zhou, Chichun, Zheng, Yirui, Song, Jie, Lu, Shiying, Kong, Xu

Table des matières: “… 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 par Sinhal, Anay, Sinhal, Arpana, Sinhal, Amit

Table des matières: “… 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 par Fang, Guanwen, Yin, Xiaolei, Zheng, Yirui, Lin, Zesen, Zhu, Shiwei, Song, Jie, Zhou, Chichun, Kong, Xu

Table des matières: “… 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 par Gregnanin, Marco, De Smedt, Johannes, Gnecco, Giorgio, Parton, Maurizio

Table des matières: “… 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 par Ding, Haolong, Wu, Mohan, Xu, Yin, Xu, Hua

Table des matières: “… 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 par Kolonin, Anton

Table des matières: “…-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 par Shi, Han-Qing, Zhang, Hai-Qing

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