15.021J / 11.433J Real Estate Economics, Spring 2004 by Wheaton, William C., 1944-

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Sparse identification of nonlocal interaction kernels in nonlinear gradient flow equations via partial inversion by Carrillo de la Plata, J, Estrada-Rodriguez, G, Mikolás, L, Tang, S

“…Our approach involves formulating and solving a regularized variational problem, which requires minimizing a quadratic error functional across a set of hypothesis functions, further augmented by a sparsity-enhancing regularizer. …”

Phase-field modeling of interfacial debonding in multi-phase materials via an adaptive isogeometric-meshfree approach by Li, Weidong, Nguyen-Thanh, Nhon, Zhou, Kun

“…In this modeling, the crack and interface phase fields are introduced for the regularized representations of crack surfaces and interfaces, respectively, and a convenient approach is proposed for implementing the regularized energy related to both crack surfaces and interfaces without requiring the line integration along them. …”
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Effects of multilingualism on brain structure, cognition and language processing by Yee, Jia’en

“…This suggests that managing more opaque orthographies may help to develop greater capacities to detect statistical regularities of inputs and lead to greater competence and flexibility in extracting regularities in general. …”
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Advanced diagnosis of electrical systems by Cao, Huimin

“…Two kind of faults are investigated in this project: sensor measurement error and power cell fault. “l1 regularized least-squares optimization” method is employed for sensor fault identification. …”
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Spatiotemporal saliency detection via sparse representation by Ren, Zhixiang, Gao, Shenghua, Rajan, Deepu, Chia, Clement Liang-Tien, Huang, Yun

“…Based on the psychological findings that abrupt stimulus could cause a rapid and involuntary deployment of attention, our temporal model combines the reconstruction error, sparsity regularizer, and local trajectory contrast to measure the motion saliency. …”
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SEM-I rational MT : enriching deep grammars with a semantic interface for scalable machine translation by Bond, Francis, Flickinger, Dan., Lønning, Jan Tore., Dyvik, Helge., Oepen, Stephan.

“…The SEM-I is a theoretically grounded component of each grammar, capturing several classes of lexical regularities while also serving the crucial engineering function of supplying a reliable and complete specification of the elementary predications the grammar can realize. …”
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Social gating of statistical learning in infants through interpersonal neural synchrony by Teo, Kai Xin

“…However, it is not known whether interpersonal neural synchronization will influence statistical language learning, an innate mechanism that facilitates infants’ learning through the detection of regularities and patterns in sensory information. Thus, this study examined the effects of eye-contact (full, partial, or none) on neural synchrony and whether neural synchrony will affect infants’ statistical language learning. …”
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A sampled texture prior for image super-resolution by Pickup, LC, Roberts, SJ, Zisserman, A

“…Typical approaches try to reconstruct a high-resolution image using the sub-pixel displacements of several low- resolution images, usually regularized by a generic smoothness prior over the high-resolution image space. …”

Supersymmetric Yang-Mills, spherical branes, and precision holography by Bobev, N, Bomans, P, Gautason, FF, Minahan, JA, Nedelin, A

“…We show how this divergence can be regularized both in QFT and in supergravity. We also consider d=7 with a small negative 't Hooft coupling and show that the free energy and Wilson loop vacuum expectation value agree with the results from supergravity after addressing some subtleties.…”

Context-aware deep model for joint mobility and time prediction by Chen, Yile, Long, Cheng, Cong, Gao, Li, Chenliang

“…The DeepJMT model consists of (1) a hierarchical recurrent neural network (RNN) based sequential dependency encoder, which is more capable of capturing a user's mobility regularities and temporal patterns compared to vanilla RNN based models; (2) a spatial context extractor and a periodicity context extractor to extract location semantics and the user's periodicity, respectively; and (3) a co-attention based social & temporal context extractor which could extract the mobility and temporal evidence from social relationships. …”
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Supersymmetric Yang-Mills, spherical branes, and precision holography by Bobev, N, Bomans, P, Gautason, FF, Minahan, JA, Nedelin, A

“…We show how this divergence can be regularized both in QFT and in supergravity. We also consider d = 7 with a small negative ’t Hooft coupling and show that the free energy and Wilson loop vacuum expectation value agree with the results from supergravity after addressing some subtleties. …”

The approximation of the solution of heat conduction problem in circular plate with concentrated initial heat by Akhmedov, Abdulkasim, Mohd Zuki, Salleh, Rakhimov, Abdumalik

“…A solution of the problem represented as the Fourier Bessel series that will be understood in terms of distributions. Regularized solutions for different values of the order of Riesz means at a singular point are analysed. …”
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A cellular basis for mapping behavioural structure by El-Gaby, M, Harris, AL, Whittington, JCR, Dorrell, W, Bhomick, A, Walton, ME, Akam, T, Behrens, TEJ

“…To flexibly adapt to new situations, our brains must understand the regularities in the world, as well as those in our own patterns of behaviour. …”

Responses of gas exchange and growth in Merkus pine seedlings to expected climatic changes in Thailand by Koskela, Jarkko

“…A carbon-and nitrogen-balance growth model applied structural regularities of a tree and a modification of functional balance between foliage and fine roots as growth-guiding rules. …”

Correntropy based nonnegative matrix factorization : algorithms and clustering applications by Peng, Siyuan

“…In this thesis, to improve existing correntropy based nonnegative matrix factorization (NMF) algorithms and develop new methods for enlarging the range and enhancing the performance in clustering tasks, three novel correntropy based NMF algorithms are proposed, which are respectively the correntropy based graph regularized concept factorization algorithm, the correntropy based orthogonal nonnegative matrix tri-factorization algorithm, and the correntropy based semi-supervised nonnegative matrix factorization algorithm. …”
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Distributed momentum based multi-agent optimization with different constraint sets by Zhou, X, Ma, Z, Zou, S, Margellos, K

“…Simulations on an ℓ1-regularized logisticregression problem show that the proposed algorithm can achieve faster convergence than existing related distributed algorithms, while a case study involving a building energy management problem further demonstrates its efficacy.…”

Differentially private deep learning for time series data by Dwitami, Inggriany

“…Furthermore, the added noise in DP-SGD can also act as regularizer to prevent overfitting. This paper recommends that future work must be done to further generalize the result of this experiments. …”
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Super-resolution enhancement of text image sequences by Capel, D, Zisserman, A

“…We then propose two estimators suitable for the enhancement of text images: a maximum a posteriori (MAP) estimator based on a Huber prior and an estimator regularized using the total variation norm. We demonstrate the improved noise robustness of these approaches over the Irani and Peleg estimator. …”

Learning to count objects in images by Lempitsky, V, Zisserman, A

“…Learning to infer such density can be formulated as a minimization of a regularized risk quadratic cost function. We introduce a new loss function, which is well-suited for such learning, and at the same time can be computed efficiently via a maximum subarray algorithm. …”