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

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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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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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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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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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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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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Students’ Errors and Learning Obstacles in Solving Algebraic Word Problems: Hermeneutic Phenomenology Autor Ario, Marfi, Suhendra, Jupri, Al, Nurlaelah, Elah

“…; nonetheless, many students still make mistakes in solving them. Several studies have largely focused on categorizing errors in solving algebraic word problems…”
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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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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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Solving Inverse Problems With Deep Neural Networks - Robustness Included? Autor Genzel, Martin, Macdonald, Jan, Marz, Maximilian

“…In the past five years, deep learning methods have become state-of-the-art in solving various inverse problems…”
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Using meta‐learning to predict performance metrics in machine learning problems Autor Carneiro, Davide, Guimarães, Miguel, Carvalho, Mariana, Novais, Paulo

“…Machine learning has been facing significant challenges over the last years, much of which stem from the new characteristics of machine learning problems, such as learning from streaming data…”
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Understanding error patterns in students' solutions to linear function problems to design learning interventions Autor Elagha, Noor, Pellegrino, James W.

“… There were two overarching aims of the reported studies. One was to assess students’ understanding of LF and discern the cognitive underpinnings of common errors they make in these types of problems…”
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Learning to construct a solution for UAV path planning problem with positioning error correction Autor Chun, Jie, Chen, Ming, Liu, Xiaolu, Xiang, Shang, Du, Yonghao, Wu, Guohua, Xing, Lining

“… This study seeks to solve the UAV path planning problem with positioning error correction (UPEC) with an end-to-end method…”
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Pushing the frontiers of density functionals by solving the fractional electron problem Autor Kirkpatrick, James, McMorrow, Brendan, Turban, David H P, Gaunt, Alexander L, Spencer, James S, Matthews, Alexander G D G, Obika, Annette, Thiry, Louis, Fortunato, Meire, Pfau, David, Castellanos, Lara Román, Petersen, Stig, Nelson, Alexander W R, Kohli, Pushmeet, Mori-Sánchez, Paula, Hassabis, Demis, Cohen, Aron J

“…Density functional theory describes matter at the quantum level, but all popular approximations suffer from systematic errors that arise from the violation of mathematical properties of the exact functional…”
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Fostering Learning from Errors—Computer-Based Adaptivity at the Transition Between Problem Solving and Explicit Instruction Autor Boomgaarden, Antje, Loibl, Katharina, Leuders, Timo

“…When learners acquire new content by working on a problem-solving task prior to explicit instruction, their attempts to solve the problem usually represent only partial steps on the way to the target concept…”
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A unified approach to error bounds for structured convex optimization problems Autor Zhou, Zirui, So, Anthony Man-Cho

“… of a host of iterative methods for solving optimization problems. In this paper, we present a new framework for establishing error bounds for a class of structured…”
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