Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize the data. Popular approaches to such learning include statistical analysis and frequency based methods. We empirically compare these approaches and find that both approaches suffer from biases toward shorter sequences, a...

We review the development of the process algebra Timed CSP, from its inception nearly twenty years ago to very recent semantical and algorithmic developments.

The growth of the Web 2.0 technologies has led to an explosion of social networking media sites. Among them, Twitter is the most popular service by far due to its ease for realtime sharing of information. It collects millions of tweets per day and monitors what people are talking about in the trending topics updated timely. Then the question is how users can understand a topic in a short time w...

An implementation of a design for testability model for sequential circuits is presented. The jlip-jlops in a sequential circuit are partitioned to reduce the number of cycles and the path lengths in each partition, thereby reducing the complezity of test generation. The implementation includes a Podem-based test generator. Preliminary results using the Contest sequential test generator are pre...

Novices often lack metacognition and self-regulation skills that are important for effective learning. Betty's Brain, an open-ended computer-based learning environment helps students practice and develop metacognitive strategies as they learn science topics. We extend previous work on sequence mining methods to discover students' frequentlyused behavior patterns from their activity sequences. O...

Article history: Received 30 September 2007 Received in revised form 4 June 2008 Available online 23 May 2009

this study was conducted in assaluyeh region, southwest of iran to show utilization and efficiency of sequential extraction analysis in environmental impact studies using soil and related regolith materials as sample media. in order to investigate distribution of heavy metals, optimized bcr (community bureau of reference) sequential extraction analysis method was used. in this caseeight repres...

this study was conducted in assaluyeh region, southwest of iran to show utilization and efficiency of sequential extraction analysis in environmental impact studies using soil and related regolith materials as sample media. in order to investigate distribution of heavy metals, optimized bcr (community bureau of reference) sequential extraction analysis method was used. in this caseeight represe...

the effect of temperature on the adsorption of heavy metals on not only natural bulk clay, but also for the individual phases that composed the bulk clay sample, was investigated. combined adsorption- sequential extraction analysis (casa) for pb, cu, zn and cd were conducted under various temperatures that ranged from 150c to 550c. as a result, it was found that heavy metals adsorption for bulk...