Výsledky vyhledávání - learning with errors (problem OR (problemys OR (problems OR problemys)))

PROBLEMY Z NAUCZANIEM FLEKSJI RZECZOWNIKA UCZNIÓW BIAŁORUSKO- I ROSYJSKOJĘZYCZNYCH NA POZIOMIE A Autor Czerwińska-Trzaskoma, Anna

“…Difficulties in learning Polish as a foreign language by people from the East fall within the scope of interest of glottodidacticians…”
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PROBLEMY FONETYCZNE SŁOWEŃCÓW UCZĄCYCH SIĘ JĘZYKA POLSKIEGO Autor Wtorkowska, Maria

“…The article shows certain phonetic difficulties encountered by Slovene students during the initial stages of learning Polish…”
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Problemy przyrodniczej edukacji holistycznej w świetle idei zrównoważonego rozwoju Autor Sandner, Jan

“… to learning about the environment, the primary concept of the author is the attempt to undertake a holistic approach to the problem of natural science education…”
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METHODS OF INTELLIGENT DATA ANALYSIS USING NEURAL NETWORKS IN DIAGNOSIS Autor Lyfar, Volodymyr, Lyfar, Olena, Zynchenko, Volodymyr

“…The considered methods make it possible to develop the structure of diagnostic systems based on neural networks and implement decision support systems in classification diagnostic problems…”
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IMPROVING PARAMETERS OF V-SUPPORT VECTOR REGRESSION WITH FEATURE SELECTION IN PARALLEL BY USING QUASI-OPPOSITIONAL AND HARRIS HAWKS OPTIMIZATION ALGORITHM Autor Ismael, Omar Mohammed, Qasim, Omar Saber, Algamal, Zakariya Yahya

“…Numerous real-world problems have been addressed using support vector regression, particularly v-support vector regression (v-SVR…”
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Nauczanie aspektu czasowników polskich na gruncie słowiańskim Autor Nowakowska, Maria Magdalena

“…, słowackim i słoweńskim, a następnie pokazano wynikające z tego problemy w przyswajaniu tej kategorii przez Czechów, Słowaków i Słoweńców. Szczególną uwagę…”
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Praktyczna składnia języka polskiego do celów akademickich z uwzględnieniem potrzeb użytkowników z pierwszym językiem ukraińskim Autor Krawczuk, Ałła

“… The study discusses common errors in case government, sentence structure, and agreement in Polish academic texts written by Ukrainian students…”
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Learning from Errors Autor Metcalfe, Janet

“…Although error avoidance during learning appears to be the rule in American classrooms, laboratory studies suggest that it may be a counterproductive strategy, at least for neurologically typical students…”
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Generalization of machine learning for problem reduction: a case study on travelling salesman problems Autor Sun, Yuan, Ernst, Andreas, Li, Xiaodong, Weiner, Jake

“… In this paper, we examine the generalization capability of a machine learning model for problem reduction on the classic travelling salesman problems (TSP…”
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Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning Autor Allen, Kelsey R, Smith, Kevin A, Tenenbaum, Joshua B

“… But human beings remain distinctive in their capacity for flexible, creative tool use-using objects in new ways to act on the world, achieve a goal, or solve a problem…”
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Noise resilient quantum learning: Adaptive policy guided error mitigation in quantum reinforcement learning for the traveling salesman problem Autor Majid, Bisma, Sofi, Shabir Ahmed, Jabeen, Zamrooda

“…Quantum Reinforcement Learning (QRL) has emerged as a promising paradigm for solving combinatorial optimization problems by leveraging quantum parallelism and interference to enhance learning efficiency…”
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Medical Errors: Medical, Social and Legal Aspects Autor Khodyreva, L A, Turzin, P S, Anikeev, D A, Lukichev, K E

“… The work defines leading directions for medical errors prevention, including the effective usage of simulation learning technologies…”
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Prediction Policy Problems Autor Kleinberg, Jon, Ludwig, Jens, Mullainathan, Sendhil, Obermeyer, Ziad

“… these “prediction policy problems” requires more than simple regression techniques, since these are tuned to generating unbiased estimates of coefficients rather than minimizing prediction error…”
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Post-Quantum Key Exchange for the TLS Protocol from the Ring Learning with Errors Problem Autor Bos, Joppe W., Costello, Craig, Naehrig, Michael, Stebila, Douglas

“…) protocol that provide key exchange based on the ring learning with errors (R-LWE) problem, we accompany these cipher suites with a rigorous proof of security…”
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Residual-based error correction for neural operator accelerated infinite-dimensional Bayesian inverse problems Autor Cao, Lianghao, O'Leary-Roseberry, Thomas, Jha, Prashant K., Oden, J. Tinsley, Ghattas, Omar

“…We explore using neural operators, or neural network representations of nonlinear maps between function spaces, to accelerate infinite-dimensional Bayesian inverse problems (BIPs…”
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Effects of self-explaining feedback on learning from problem-solving errors Autor Zhang, Qian, Fiorella, Logan

“…•Modifying the layout of the feedback did not affect learning. We tested two potential ways to help students learn from feedback on their problem-solving errors in physics…”
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Solving a Higgs optimization problem with quantum annealing for machine learning Autor Mott, Alex, Job, Joshua, Vlimant, Jean-Roch, Lidar, Daniel, Spiropulu, Maria

“… Here, Alex Mott and colleagues implement a 'signal versus background' machine learning optimization problem that can be used in the search for Higgs bosons at the Large Hadron Collider at CERN and at future colliders…”
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Deep Learning for Integrated Origin-Destination Estimation and Traffic Sensor Location Problems Autor Owais, Mahmoud

“… This article provides a resilient deep learning (DL) architecture combined with a global sensitivity analysis tool to solve O-D estimation and sensor location problems simultaneously…”
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Learning about structural errors in models of complex dynamical systems Autor Wu, Jin-Long, Levine, Matthew E., Schneider, Tapio, Stuart, Andrew

“… Building on such closure models and correcting them through learning the structural errors can be an effective way of fusing data with domain knowledge…”
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Mitigating the Multicollinearity Problem and Its Machine Learning Approach: A Review Autor Chan, Jireh Yi-Le, Leow, Steven Mun Hong, Bea, Khean Thye, Cheng, Wai Khuen, Phoong, Seuk Wai, Hong, Zeng-Wei, Chen, Yen-Lin

“… Although this presents opportunities to better model the relationship between predictors and the response variables, this also causes serious problems during data analysis, one of which is the multicollinearity problem…”
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