We propose an unsupervised bootstrapping method to generate a new type of affect knowledge base: the sentiment expectation of nouns (e.g., “high salary” is desirable while “high price” is usually undesirable, because people have opposite sentiment expectation towards “salary” and “price”). A bootstrapping framework is designed to retrieve patterns that might be used to express complaints from t...

Split-and-merge techniques have been demonstrated to be effective in overtaking the convergence problems in classical EM. In this paper we follow a split-and-merge approach and we propose a new EM algorithm that makes use of a on-line variable number of mixture Gaussians components. We introduce a measure of the similarities to decide when to merge components. A set of adaptive thresholds keeps...

The hi-tech development has led great success in both scientific and technical fields. Therefore we can obviously note that data processing takes less execution time and a smaller amount of human efforts. This is the advantage of the automatic line of work which aimed to reduce either physical or intellectual human effort. Furthermore it focused to let the painful and complex tasks to the machi...

To develop effective learning algorithms for continuous prediction of cursor movement using EEG signals is a challenging research issue in brain-computer interface (BCI). In this paper, we propose a novel statistical approach based on expectation-maximization (EM) method to learn the parameters of a classifier for EEG-based cursor control. To train a classifier for continuous prediction, trials...

A method that predicts the next notes is described for assisting musical novices to play improvisations. Melody prediction is one of the most difficult problems in musical information retrieval because composers and players may or may not create melodies that conform to our expectation. The development of a melody expectation method is thus important for building a system that supports musical ...

background: nowadays, there has been a growing trend of caesarean sections in iran. one reason would be the mother’s desire. increased maternal self‑efficacy can be an important step to reduce percentage of cesarean. this study aimed to determine the effectiveness of training‑based strategies to increase the self‑efficacy for choosing delivery method among pregnant women in shahrekord city. met...

the notion of a $d$-poset was introduced in a connection withquantum mechanical models. in this paper, we introduce theconditional expectation of  random variables on thek^{o}pka's $d$-poset and prove the basic properties ofconditional expectation on this  structure.