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241
15.021J / 11.433J Real Estate Economics, Spring 2004
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Learning Object -
242
Effects of multilingualism on brain structure, cognition and language processing
Published 2022“…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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Thesis -
243
Sparse identification of nonlocal interaction kernels in nonlinear gradient flow equations via partial inversion
Published 2025“…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. …”
Journal article -
244
Spatiotemporal saliency detection via sparse representation
Published 2013“…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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Conference Paper -
245
SEM-I rational MT : enriching deep grammars with a semantic interface for scalable machine translation
Published 2011“…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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Conference Paper -
246
Social gating of statistical learning in infants through interpersonal neural synchrony
Published 2020“…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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Final Year Project (FYP) -
247
Context-aware deep model for joint mobility and time prediction
Published 2021“…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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Conference Paper -
248
A cellular basis for mapping behavioural structure
Published 2024“…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. …”
Journal article -
249
Responses of gas exchange and growth in Merkus pine seedlings to expected climatic changes in Thailand
Published 2008“…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. …”
Article -
250
Differentially private deep learning for time series data
Published 2020“…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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Final Year Project (FYP) -
251
Region embedding with intra and inter-view contrastive learning
Published 2023“…We design the intra-view contrastive learning module which helps to learn distinguished region embeddings and the inter-view contrastive learning module which serves as a soft co-regularizer to constrain the embedding parameters and transfer knowledge across multi-views. …”
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Journal Article -
252
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253
The use of unified power flow controller to enhance power system stability
Published 2008“…The objective of this thesis are to develop a mathematical model of UPFC for use in power system stability studies and to develop a control method to regulate the UPFC to improve the dynamic performance of power systems.…”
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Thesis -
254
Europe's Islamic tightrope
Published 2021“…Targeted police actions against certain groups in Austria and proposed legislation to regulate Islamic religious and cultural practices in France suggest that some parts of Europe seem to be resetting their relations with Muslim societies. …”
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Commentary -
255
Control of a high-order boost converter
Published 2012“…The purpose of this project is to design and implement three different analog low-order controllers to regulate the output voltage of the fifth-order boost converter. …”
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Final Year Project (FYP) -
256
Design of an inductor-based DC/DC buck converter
Published 2020“…The project mainly focuses on the design of the negative feedback system and the pulse-width modulation (PWM) circuit to regulate the output voltage. This report covers the theory of the buck DC-DC converter, negative feedback circuit as well as the simulations and results of overall system.…”
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Final Year Project (FYP) -
257
Control of a DC-DC multi-level boost converter
Published 2014“…A current mode controller is used to regulate and control the output of the converter to make it more robust to load changes and interferences. …”
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Final Year Project (FYP) -
258
Category learning in infants and adults
Published 2018“…The results revealed that adults, in the same way as infants, use statistical regularities to spontaneously organise a stream of visually presented items into categories.…”
Thesis -
259
Simplified hybrid control strategy for stand-alone DC microgrid with photovoltaic system to extend battery lifespan
Published 2021“…However, conventional control schemes deploy multiple voltage controllers to regulate the dc-link voltage, causing mode transitions during the transients and complicating the controller design. …”
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Conference Paper -
260
Content-based image retrieval with statistical machine learning.
Published 2013“…By introducing a Laplacian regularizer to BMMA, semi-supervised BMMA (SemiBMMA) is also proposed to utilize the information of unlabeled samples for SVM-based RF. …”
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Thesis