OBJECTIVES The aim was to evaluate the potential for monotonicity constraints to bias machine learning systems to learn rules that were both accurate and meaningful. METHODS Two data sets, taken from problems as diverse as screening for dementia and assessing the risk of mental retardation, were collected and a rule learning system, with and without monotonicity constraints, was run on each. ...

Despite much progress, state-of-the-art learning algorithms for repeated games still often require thousands of moves to learn effectively – even in simple games. Our goal is to find algorithms that learn to play effective strategies in tens of moves in many games when paired against various associates. Toward this end, we describe a new meta-algorithm designed to increase the learning speed an...

With the advancement of Web technology, hypermedia learning systems are becoming more widespread in educational settings. Hypermedia learning systems present course content with non-sequential formats, so students are required to develop learning paths by themselves. Yet, empirical evidence indicates that not all students can benefit from hypermedia learning. Research into individual difference...

The current study examined the possible additive benefits of focus of attention (FOA) on observational learning, mental imagery, and physical practice. Utilizing a full-body multiphase physical task allowed us to examine the influence of each of these effects on overall athletic performance. Subjects were limited to experts in the selected long-jump task. Internal and external foci of attention...

Abstract Recent advances have shown how decision trees are apt data structures for concisely representing strategies (or controllers) satisfying various objectives. Moreover, they also make the strategy more explainable. The recent tool had provided pipelines with tools supporting synthesis hybrid systems, such as and . We present , a new version several fundamentally novel features. Most impor...

We have implemented a system for assisting experts in selecting MEDLINE records for database construction purposes. This system has two specific features: The first is a learning mechanism which extracts characteristics in the abstracts of MEDLINE records of interest as patterns. These patterns reflect selection decisions by experts and are used for screening the records. The second is a keywor...