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In this paper we present a comprehensive review of a well-known sequential classifier in machine learning Conditional Random Fields (CRFs). CRFs is proposed to cope the limitation of both generative Hidden Markov Models (HMMs) and discriminative Maximum Entropy Markov Models (MEMMs) for solving the sequential classification problems. CRFs is widely used to accomplish the sequential classification...
Public transport such as train systems, particularly commuter line, become one of important transportation systems in Indonesia. However, there is still a challenge on how to ensure the reliability of such systems when respond to the changes or disruptions in operational time. This paper proposes a disruption pattern analysis of commuter line systems, as the first step towards building a dynamic model...
This exploratory study focus on the effects of computer games from students’ point of view. We observe on the effects of computer games towards students’ academic performance in two computer science related subjects. Two subjects chosen were Fundamental of Computer Science (CSC119) and Introduction to Problem Solving (CSC125). Data was gathered from questionnaire that has been distributed among the...
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