Extreme learning machines for feature learning by Liyanaarachchi Lekamalage, Chamara Kasun

“…The proposed ELM Facial Point Detection (ELM-FPD) consist of the three algorithms: 1) automatic face recognition algorithm such as Viola Jones algorithm locates the face in the image; 2) LRF-ELMAE estimates the facial points on the located faces using mean face shape; 3) Extreme Learning Machine Supervised Descent Method (ELM-SDM) improves the estimated facial points using low dimensional response maps. …”
Get full text

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). …”
Get full text

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. …”
Get full text

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. …”
Get full text
Get full text

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. …”
Get full text

Evolutionary computing for unsupervised clustering methods by Do, Anh Duc

Get full text

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.…”
Get full text

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. …”
Get full text

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. …”
Get full text
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text
Get full text

Online learning with kernels by Fan, Haijin

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

Machine learning for denoising by Quek, Kenneth Joo Hong

Get full text

Software development and integration for continual reassessment method by Lim, Siew Kim.

“…This is followed by a validation study of the software after a learning process of CRM from concept to detail procedures.…”
Get full text