The Regulatory Framework of Accounting / by Tanna, Suresh, editor 286534, Karam Singh, editor 240285, Woolf, Emile, editor 240274

Banks regulatory reforms in Singapore. by Foo, Cindy Ping Ping., Lee, Shirleen Sok Loon., Ng, Mui Chee.

“…The local banking system has been undergoing a process of re-regulation.Although bank's regulatory burden is reduced, they need to be more accountable to the shareholder and also face increasing competition. …”
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Manifold regularized stochastic block model by He, Tiantian, Bai, Lu, Ong, Yew-Soon

“…To fill this void, we propose a novel SBM dubbed manifold regularized stochastic model (MrSBM) to perform the task of unsupervised learning in network data in this paper. …”
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Pseudocapacitor electrodes : regular pores matter by Fan, Hong Jin

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Regulatory RNAs discovered in unexpected places by Pek, Jun Wei, Okamura, Katsutomo

“…These ncRNA genes were surprises at the time of their discovery, but many quickly became well-accepted families of functional regulatory RNA species. Even after years of extensive gene annotation studies using high-throughput sequencing technologies, new types of ncRNA genes continue to be discovered in unexpected places. …”
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Higher secondary polytopes and regular plabic graphs by Galashin, Pavel, Postnikov, Alexander, Williams, Lauren

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On the clique number of a strongly regular graph by Greaves, Gary Royden Watson, Soicher, Leonard H.

“…We determine new upper bounds for the clique numbers of strongly regular graphs in terms of their parameters. These bounds improve on the Delsarte bound for infinitely many feasible parameter tuples for strongly regular graphs, including infinitely many parameter tuples that correspond to Paley graphs.…”
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Reconciling Bayesian and perimeter regularization for binary inversion by Dunbar, Oliver R. A., Dunlop, Matthew M., Elliott, Charles M., Hoang, Viet Ha, Stuart, Andrew M.

“…A central theme in classical algorithms for the reconstruction of discontinuous functions from observational data is perimeter regularization via the use of total variation. On the other hand, sparse or noisy data often demand a probabilistic approach to the reconstruction of images, to enable uncertainty quantification; the Bayesian approach to inversion, which itself introduces a form of regularization, is a natural framework in which to carry this out. …”
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Laplacian embedded regression for scalable manifold regularization by Chen, Lin, Tsang, Ivor Wai-Hung, Xu, Dong

“…In particular, the manifold regularization framework has laid solid theoretical foundations for a large family of SSL algorithms, such as Laplacian support vector machine (LapSVM) and Laplacian regularized least squares (LapRLS). …”
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TRIPs-Py: Techniques for regularization of inverse problems in python by Pasha, Mirjeta, Gazzola, Silvia, Sanderford, Connor, Ugwu, Ugochukwu O.

“…The solvers available in TRIPs-Py include direct regularization methods (such as truncated singular value decomposition and Tikhonov) and iterative regularization techniques (such as Krylov subspace methods and recent solvers for ℓ𝑝 -ℓ𝑞 formulations, which enforce sparse or edge-preserving solutions and handle different noise types). …”
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Regularizing variational methods for robust object boundary detection by Fang, Wen

“…In order to achieve a robust object detection, additional boundary constraints need to be incorporated into the variational methods to regularize the curve evolution. In this thesis, two new boundary constraints are proposed. …”
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Shortest paths without a map, but with an entropic regularizer by Bubeck, S, Coester, C, Rabani, Y

Consumers' perception on regulatory changes in Singapore insurance industry. by Chia, Cindy Li Teng., Lo, Chai Lan., Wong, Hwee Fern.

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A review background of special building regulatory in Malaysia by Izanda, Nurul Sal Shabila, Samsudin, Salfarina, Mohsin, Aminah

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Laplacian Regularized Subspace Learning for interactive image re-ranking by Zhang, Lining., Wang, Lipo., Lin, Weisi.

“…In this paper, we propose a novel subspace learning based IR scheme by using a graph embedding framework, termed Laplacian Regularized Subspace Learning (LRSL). The LRSL method can model both within-class compactness and between-class separation by specially designing an intrinsic graph and a penalty graph in the graph embedding framework, respectively. …”
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Enhancing exemplar SVMs using part level transfer regularization by Aytar, Y, Zisserman, A

“…<br> In this paper we introduce a method of part based transfer regularization that boosts the performance of E-SVMs, with a negligible additional cost. …”

UMPSA validates three regulatory Programmes at Muscat College, Oman by Zahiruddin, Mohd Zain

“…Mohd Hanafiah Ahmad, visited Muscat College in Oman to validate three regulatory programmes offered by the college in collaboration with UMPSA.…”
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UMPSA validates 3 Regulatory Programmes at Muscat College, Oman by Zahiruddin, Mohd Zain

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Understanding collective regularity in human mobility as a familiar stranger phenomenon by Leng, Yan, Santistevan, Dominiquo, Pentland, Alex

“…To understand the social and spatial components of familiar strangers more deeply, we study the temporal regularity and spatial structure of collective urban mobility to shed light on the mechanisms that guide these interactions. …”
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Feature extraction from EEG signals and regularization for brain-computer interface by Mishuhina, Vasilisa

“…Firstly, a novel feature weighting and regularization (FWR) method that utilizes all CSP features to avoid information loss is proposed. …”
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