Development of vision-based terrain recognition method for lower limb exoskeleton for outdoor environments by Gupta, Paluk

“…The heart of the system is a deep learning model, specifically Convolutional Neural Network (CNN). …”
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Unsupervised bayesian generative methods by Li, Shaohua

“…Probabilistic generative models are recent development in unsupervised learning. The generative modeling framework can model rich structures and learn diverse types of relations within the data, which are usually difficult to do using traditional methods. …”
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Analysis of online learning algorithms in machine learning by Wang, Z

“…Further, we develop a new continuous-time stochastic gradient descent method for optimizing over the stationary distribution of SDE models. …”

Deep Reinforcement Learning in complex environments by Nardelli, N

“…The presence of multiple agents breaks some of the key assumptions that provide necessary stability to standard learning methods, creating unique and interesting problems. …”

A unified framework of active transfer learning for cross-system recommendation by Zhao, Lili, Pan, Sinno Jialin, Yang, Qiang

“…In this paper, we propose a new transfer learning framework for recommender systems, which relaxes the above assumption to facilitate flexible knowledge transfer across different systems with low cost by using an active learning principle to construct entity correspondences across systems. …”
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Novel approaches for imaging-based diagnosis of ocular surface disease by Schmidl, Doreen, Schlatter, Andreas, Chua, Jacqueline, Tan, Bingyao, Garhöfer, Gerhard, Schmetterer, Leopold

“…Ocular surface disease is often synonymous with dry eye disease, but also refers to other conditions of the ocular surface, such as Meibomian gland dysfunction or keratitis and conjunctivitis with different underlying causes, i.e., allergies or infections. …”
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Eccentric compression performance of jointed precast concrete-encased concrete-filled steel tube columns with dry connections by Zhu, Gaoming, Tan, Kang Hai

“…To address this concern, a performance-based design method was proposed for jointed CECFST columns. Parametric studies showed that adopting the performance-based design method could not only improve constructability but also achieve sufficient column resistance.…”
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MCMC inversion of the transient and steady-state creep flow law parameters of dunite under dry and wet conditions by Masuti, Sagar, Barbot, Sylvain

“…We determine the flow law parameters for dunites using a Markov chain Monte Carlo method. We find the activation energy 430 ± 20 and 250 ± 10 kJ/mol for dry and wet conditions, respectively, and the stress exponent 2.0 ± 0.1 for both the dry and wet cases for transient creep, consistently lower than those of steady-state creep, suggesting a separate physical mechanism. …”
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Student teachers learning to use Assessment for Learning in schools by Tan Chia Chun, D

“…<p>Assessment for Learning (AfL) has been seen as a key aspect of teaching and learning for almost two decades, since the seminal review by Black and Wiliam (1998a). …”

Online learning by Kashish Minocha.

“…This is potentially due to a lack of interest in programming arising out of conventional methods of instruction. Since programming in C lays the foundation for a variety of advanced engineering study, efforts are necessary to kindle and sustain interests of the students while learning this module. …”
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Evolutionary computing for unsupervised clustering methods by Do, Anh Duc

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Universal machine learning classifier using extreme learning machines by Chen, Jinnan

“…We also applied the extreme learning machine with some modification as the core part into our algorithm and use several evaluation indexes to give an objective and comprehensive analysis of the proposed method.…”
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Tactile identification of textures using machine learning/ deep learning by Goh, Jun Bin

“…This project seeks to establish a method to identify an object, based on its haptic properties, and using Machine Learning and/or Deep Learning techniques. …”
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Diagrammatic Representation and Inference : 12th International Conference, Diagrams 2021, Virtual, September 28-30, 2021, Proceedings / by Diagrams (Conference) (12th : 2021 : Online) 643173, Basu, Amrita, 1953-, editor 643175, Stapleton, Gem, editor 643176, Linker, Sven, editor 643177, Legg, Catherine, editor 643178, Manalo, Emmanuel, editor 643179, Viana, Petrucio, editor 643180

Weighted online sequential extreme learning machine for class imbalance learning by Lin, Zhiping, Mirza, Bilal., Toh, Kar-Ann.

“…Most of the existing sequential learning methods for class imbalance learn data in chunks. …”
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Learning driver-specific behavior for overtaking : a combined learning framework by Lu, Chao, Wang, Huaji, Lv, Chen, Gong, Jianwei, Xi, Junqiang, Cao, Dongpu

“…However, traditional offline learning methods lack the ability to adapt to individual driving behavior. …”
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Effects of problem-based learning on EFL learning: a systematic review by Guo, Qian, Jamil, Halimah, Ismail, Lilliati, Luo, Shujie, Sun, Zhubin

“…Problem-based learning (PBL) is an innovative pedagogical approach that facilitates students’ self-regulated learning, thereby improving their English proficiency. …”
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Graph representation learning by Zhang, Xinyi

“…Besides different techniques used in graph representation learning, according to the fineness of the objects for embedding, the graph representation learning methods can be mainly divided into node-level, edge-level, and graph-level representation learning methods. …”
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Librarian class attendance : methods, outcomes and opportunities by Cmor, Dianne, Marshall, Victoria.

“…This paper describes the setting, methods, and outcomes associated with having librarians attend courses as active members in an evolving learning environment. …”
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Online learning with kernels by Fan, Haijin

“…Kernel methods are popular nonparametric modeling tools in machine learning. …”
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