Automatic short answer grading (ASAG) is the automated process of assessing answers based on natural language using computation methods and machine learning algorithms. Development of large-scale smart education systems on one hand and the importance of assessment as a key factor in the learning process and its confronted challenges, on the other hand, have significantly increased the need for ...

–Clustering techniques make it possible to search large amounts of data for characteristic rules and patterns. To monitoring each data recorded on a cluster or any data mining classification, they can be used to calculate the distance similarity. In this paper, we present “Supervised & Unsupervised learning” a method similarity measures which are used for analysis. The clustering method first p...

We develop a multilayer overlapped self-organizing maps (SOM's) with limited structure adaptation capabilities, and associated learning scheme for labeled pattern classification applications. The learning algorithm consists of the standard unsupervised SOM learning of synaptic weights as well as the supervised learning vector quantization (LVQ) 2 learning. As higher layer SOM's overlap, the fin...

In this work, we introduce QUEST (QUantile Estimation after Supervised Training), an adaptive classification algorithm for Wireless Sensor Networks (WSNs) that eliminates the necessity for online supervised learning. Online processing is important for many sensor network applications. Transmitting raw sensor data puts high demands on the battery, reducing network life time. By merely transmitti...

Artificial neural networks (ANNs), computer paradigms that can learn, excel in pattern recognition tasks such as disease diagnosis. Artificial neural networks operate in two different learning modes: supervised, in which a known diagnostic outcome is presented to the ANN, and unsupervised, in which the diagnostic outcome is not presented. A supervised learning ANN could emulate human expert dia...

Sentiment analysis is a technique to classify people's opinions in product reviews, blogs or social networks. It has different usages and has received much attention from researchers and practitioners lately. In this study, we are interested in product feature based sentiment analysis. In other words, we are more interested in identifying the opinion polarities (positive, neutral or negative) e...