Measuring Technology Mediated Learning (TML) success has been and is of great interest to both researchers and practitioners. This article examines multidimensional approaches to measuring learning success, considering ITand non-ITsupported learning scenarios, examined by researchers from various research disciplines. We explore the current state of research on TML success through a literature ...

Model complexity is key concern to any artificial learning system due its critical impact on generalization. However, EC research has only focused phenotype structural complexity for static problems. For sequential decision tasks, phenotypes that are very similar in structure, can produce radically different behaviors, and the trade-off between fitness and complexity in this context is not clea...

The fit of structural equation models with normally distributed observed and latent variables can be evaluated by examining the normalized and standardized residuals computed in Mplus. These residuals are available for the ML, MLR, and MLF estimators and can be obtained by the residual output command. Suppose that Y is the vector of dependent observed variables and η is the vector of latent var...

The increase in the numbers of both public and private higher learning institutions (HLI) in Malaysia has resulted in the industry becoming relatively very competitive. The situation calls for HLIs to focus on establishing a strong corporate image and providing student satisfaction to secure their loyalty. Delivering quality services would lead to student satisfaction and loyalty. This study re...

Analysis of criminal networks are inherently difficult because of the nature of the topic. Criminal networks are covert and most information is not publicly available. This leads to small datasets available analysis. The available criminal network datasets consists of entities, i.e. individual or organizations, which are linked to each other. The links between entities indicates that there is a...

Music key, a high level feature of musical audio, is an effective tool for structural analysis of musical works. This paper presents a novel unsupervised approach for clustering music recordings by their keys. Based on chroma-based features extracted from acoustic signals, an inter-recording distance metric which characterizes diversity of pitch distribution together with harmonic center of mus...

While online learning techniques have existed since Rosenblatt’s introduction of the Perceptron in 1957, there has been a renewed interest lately due to the need for efficient classification algorithms. Additionally, kernel techniques have allowed online learning to be extended to problems whose classes are not linearly separable in their native space. Online algorithms typically result in poor...

Recursive neural networks (RNNs) have been successful for structured prediction in domains such as language and image processing. These techniques imposed structure onto sentences or images for more effective learning. However, in domains such as Web design, structure is explicitly embedded in the Document Object Model, so structured prediction can be done using the natural hierarchy of Web pag...

Classification and prediction of protein structure has been a central research theme in structural bioinformatics. Due to the imbalanced distribution of proteins over multi SCOP classification, most discriminative machine learning suffers the well-known ‘False Positives’ problem when learning over these types of problems. We have devised eKISS, an ensemble machine learning specifically designed...

An experiment was performed to understand the use of Intellectual Capital in a knowledge-based organization. A theoretical model was created; it interconnects the Intellectual Capital components as a way of understanding the intellectual wealth of a learning organization. Hypotheses were formulated from this. Data were then collected at two different time periods. These were then analysed using...