Results 31 to 40 of about 9,313 (254)
Breaking the curse of dimensionality in regression
CoRR, 2017 Models with many signals, high-dimensional models, often impose structures on the signal strengths. The common assumption is that only a few signals are strong and most of the signals are zero or close (collectively) to zero. However, such a requirement might not be valid in many real-life applications.
Zhu, Yinchu, Bradic, Jelena
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Advanced Materials Technologies, EarlyView.This review systematically explains the synthesis, properties, and energy storage and conversion applications of vanadium carbides. We introduce the structural and the synthetic strategies and reviewed recent developments in the material synthesis processes. The emerging applications of vanadium carbides in energy storage and conversion are highlighted.
Swathy B. Saseendran +2 more
wiley +1 more source
Outlier Detection Based Feature Selection Exploiting Bio-Inspired Optimization Algorithms
Applied Sciences, 2021 The curse of dimensionality problem occurs when the data are high-dimensional. It affects the learning process and reduces the accuracy. Feature selection is one of the dimensionality reduction approaches that mainly contribute to solving the curse of ...
Souad Larabi-Marie-Sainte
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Advanced Robotics Research, EarlyView.This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi +2 more
wiley +1 more source
Cancer Informatics, 2006 Sound data analysis is critical to the success of modern molecular medicine research that involves collection and interpretation of mass-throughput data. The novel nature and high-dimensionality in such datasets pose a series of non-trivial data analysis
Constantin F. Aliferis +2 more
doaj +2 more sources
Ethical Precision in Nanoscale Brain Interfacing
Advanced Science, EarlyView.As brain interfaces approach the nanoscale, precision no longer only measures—it knows, predicts, and potentially reshapes the mind. This work argues that traditional ethics fails under such conditions and proposes a shift toward continuous, operation‐based governance using the recovery–discovery framework to track, constrain, and responsibly steer ...
Guilherme Wood
wiley +1 more source
Breaking the curse of dimensionality in nonparametric testing [PDF]
Journal of Econometrics, 2008 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lavergne, Pascal, Patilea, Valentin
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Advanced Science, EarlyView.By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin +12 more
wiley +1 more source
Adaptive Reduction of Curse of Dimensionality in Nonparametric Instrumental Variable Estimation
MathematicsNonparametric estimation of instrumental variable treatment effects typically builds on various nonparametric identification results. However, these estimators often face challenges from the curse of dimensionality in practice, as multi-dimensional ...
Ming-Yueh Huang, Kwun Chuen Gary Chan
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Whole Brain fMRI Pattern Analysis Based on Tensor Neural Network
IEEE Access, 2018 Functional magnetic resonance imaging (fMRI) has increasingly come to dominate brain mapping research, as it provides a dynamic view of brain matter. Feature selection or extraction methods play an important role in the successful application of machine ...
Xiaowen Xu +5 more
doaj +1 more source