Interactive narrative environments offer significant potential for creating engaging narrative experiences. Increasingly, applications in education, training, and entertainment are leveraging narrative to create rich interactive experiences in virtual storyworlds. A key challenge posed by these environments is building an effective model of the intervention strategies of director agents that cr...

This paper describes the use of two machine learning techniques, Naive Bayesian classifier (NB) and transformation-based learning (TBL), to address the task of assigning function tags to Myanmar sentences. Function tagging is a process of assigning syntactic categories like subject, object, time and location to each word in the text document. It is an important step in Natural Language Processi...

T helper 17 (TH17) cells represent a pivotal adaptive cell subset involved in multiple immune disorders in mammalian species. Deciphering the molecular interactions regulating TH17 cell differentiation is particularly critical for novel drug target discovery designed to control maladaptive inflammatory conditions. Using continuous time Bayesian networks over a time-course gene expression datase...

Noisy training data have a huge negative impact on machine learning algorithms. Noise-filtering algorithms have been proposed to eliminate such noisy instances. In this work, we empirically show that the most popular noise-filtering algorithms have a large False Positive (FP) error rate. In other words, these noise filters mistakenly identify genuine instances as outliers and eliminate them. Th...

Network traffic classification can be used to identify different applications and protocols that exist in a network. Actions such as monitoring, discovery, control and optimization can be performed by using classified network traffic. The overall goal of network traffic classification is improving the network performance. Once the packets are classified as belonging to a particular application,...

In response to the challenges set forth by the 2 Social Media Mining for Health Applications Shared Task 2017, we describe a framework to automatically detect Twitter tweets with mentioned adverse drug reactions (ADRs). We used a dataset with 10822 annotated tweets provided by the event organizers to develop a framework comprised of a preprocessing module, 6 feature extraction modules, and one ...

Spam is an Unsolicited Commercial Email(UCE). It involves sending messages by email to numerous recipients at the same time (Mass Emailing). Spam mails are used for spreading virus or malicious code, for fraud in banking, for phishing, and for advertising. So it can cause serious problem for internet users such as loading traffic on the network, wasting searching time of user and energy of the ...

Operators on naval ships have to act in dynamic, critical and highdemand task environments. For these environments, a cognitive task load (CTL) model has been proposed as foundation of three operator support functions: adaptive task allocation, cognitive aids and resource feedback. This paper presents the construction of such a model as a Bayesian network with probability relationships between ...