Resultados de búsqueda - distributed evolution (algorithm OR (Algorithmssssic OR Algorithmssssic))

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

Tabla de Contenidos: “… 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 por Chen, Tianen, Shang, Yun

Tabla de Contenidos: “… 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 por Sreedevi, Anu, Karak, Bidya Binay, Jha, Bibhuti Kumar, Gupta, Rambahadur, Banerjee, Dipankar

Tabla de Contenidos: “… 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 por Zhang, Xiyang, Liang, Chen, Qiu, Haoxuan, Wang, Hongzhi

Tabla de Contenidos: “… 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 por Gao, Zijian, Zhong, Yuanting, Ma, Zeyuan, Gong, Yue-Jiao, Guo, Hongshu

Tabla de Contenidos: “… 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 por 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.

Tabla de Contenidos: “… 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 por 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

Tabla de Contenidos: “… 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 por Atar, Rami, Wolansky, Gershon

Tabla de Contenidos: “… 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 por Hu, Pihe, Li, Shaolong, Li, Zhuoran, Pan, Ling, Huang, Longbo

Tabla de Contenidos: “… 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 por Gomez, Cristian, Solon, Kimberly, Haest, Pieter-Jan, Morley, Mark, Nopens, Ingmar, Torfs, Elena

Tabla de Contenidos: “…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 por Park, Junyoung, Kok, Neo, Gaynanova, Irina

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

Tabla de Contenidos: “…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 por Rajput, Kishansingh, Schram, Malachi, Sammuli, Brian, Lin, Sen

Tabla de Contenidos: “… 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 por Zhu, Shiwei, Fang, Guanwen, Dai, Yao, Zhou, Chichun, Zheng, Yirui, Song, Jie, Lu, Shiying, Kong, Xu

Tabla de Contenidos: “… 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 por Sinhal, Anay, Sinhal, Arpana, Sinhal, Amit

Tabla de Contenidos: “… 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 por Fang, Guanwen, Yin, Xiaolei, Zheng, Yirui, Lin, Zesen, Zhu, Shiwei, Song, Jie, Zhou, Chichun, Kong, Xu

Tabla de Contenidos: “… 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 por Gregnanin, Marco, De Smedt, Johannes, Gnecco, Giorgio, Parton, Maurizio

Tabla de Contenidos: “… 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 por Ding, Haolong, Wu, Mohan, Xu, Yin, Xu, Hua

Tabla de Contenidos: “… 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 por Kolonin, Anton

Tabla de Contenidos: “…-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 por Shi, Han-Qing, Zhang, Hai-Qing

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