This paper focuses on the power of comments to predict fault-prone programs. In general, comments along with executable statements enhance the understandability of programs. However, comments may also be used to mask the lack of readability in the program, therefore well-written comments are referred to as “deodorant to mask code smells” in the field of code refactoring. This paper conducts an ...

Health monitoring is emerging as one of the most promising developments for product in-service reliability assessment and maintenance. This paper presents an overview of the concepts used in current health monitoring approaches, with a focus on Life Consumption Monitoring (LCM). Its application to electronic systems is discussed. In addition to in-service reliability assessment and maintenance,...

This paper uses Factored Latent Analysis (FLA) to learn a factorized, segmental representation for observations of tracked objects over time. Factored Latent Analysis is latent class analysis in which the observation space is subdivided and each aspect of the original space is represented by a separate latent class model. One could simply treat these factors as completely independent and ignore...

Latent variable models have been used extensively in the social sciences. In this work a latent class analysis is used to identify syndromes within Alzheimer's disease. The fitting of the model is done in a Bayesian framework, and this is examined in detail here. In particular, the label switching problem is identified, and solutions presented. Graphical summaries of the posterior distribution ...

This paper introduces the probabilistic paradigm, a probabilistic, declarative model of morphological structure. We describe an algorithm that recursively applies Latent Dirichlet Allocation with an orthogonality constraint to discover morphological paradigms as the latent classes within a suffix-stem matrix. We apply the algorithm to data preprocessed in several different ways, and show that w...

Previous research by Tucker et al. (2005) and Tucker et al. (2006) attempts to identify a latent construct that predicts the amount of measurement error in expenditure reports on the Consumer Expenditure Interview Survey (CEIS). While this work was successful in identifying a construct that predicts measurement error in expenditure reports, it is more sensitive to falsely negative reports of th...

This study investigated how various mathematics learning strategies affect the mathematical literacy of students. The data for this study were obtained from the 2012 Programme for International Student Assessment (PISA) data of Taiwan. The PISA learning strategy survey contains three types of learning strategies: elaboration, control, and memorization. To objectively classify students’ learning...

This article presents a study on the adoption and usage of new media among a representative sample of Flemish youngsters. Some major findings include the dominant role of computers and Internet in the media behavior of these youngsters, challenging traditional media such as TV and radio. However, the supposed popularity of mobile applications and gaming among youngsters was not universally pres...

This paper focuses on learning in the presence of a Markovian teammate in Ad hoc teams. A Markovian teammate’s policy is a function of a set of discrete feature values derived from the joint history of interaction, where the feature values transition in a Markovian fashion on each time step. We introduce a novel algorithm “Learning to Cooperate with a Markovian teammate”, or Lcm, that converges...

In this paper, I analyse recent survey data on the exchange of practical support and assistance between adult children and their noncoresident parents. Using latent class analysis, three types of exchange relationship are identified: (1) those who rarely exchange assistance with their parents (low-level exchangers), (2) those who regularly exchange assistance with their parents (high-level exch...