MOTIVATION With the vast increase in the number of gene expression datasets deposited in public databases, novel techniques are required to analyze and mine this wealth of data. Similar to the way BLAST enables cross-species comparison of sequence data, tools that enable cross-species expression comparison will allow us to better utilize these datasets: cross-species expression comparison enabl...

The mixture-of-experts (ME) models can be useful to solve complicated classification problems in real world. However, in order to train the ME model with not only labeled data but also unlabeled data which are easier to come, a new learning algorithm that considers characteristics of the ME model is required. We proposed global-local co-training (GLCT), the hybrid training method of the ME mode...

I propose a novel co-training method for statistical machine translation. As co-training requires multiple learners trained on views of the data which are disjoint and sufficient for the labeling task, I use multiple source documents as views on translation. Co-training for statistical machine translation is therefore a type of multi-source translation. Unlike previous mutli-source methods, it ...

Teachers are facing increasingly diverse classrooms globally. To support all students efficiently, teachers need to know their students. Drawing from the literature of teacher learning and inclusive education, we explored how learn in a co-teaching context. Analysis interviews diaries five teams showed that learned about co-taught classroom by observing obtaining knowledge co-constructing with ...

Kentucky has led the nation in adopting Common Core Standards to revitalize education for next-generation learners and schools. To improve preparation of the state’s next-generation teachers, Kentucky has also mandated reform in training student teachers. This article reviews experiences of teacher educators from four Kentucky universities that are collaborating to ensure both quality and consi...