In many learning problems prior knowledge about pattern variations can be formalized and beneficially incorporated into the analysis system. The corresponding notion of invarianc...
State machines can be used to specify the behaviour of objects in a system by describing the relationships between the states of the object and its ability to respond to events pr...
Abstract. There has been growing interest in practice in using unlabeled data together with labeled data in machine learning, and a number of different approaches have been develo...
This book covers several topics such as: overview of neural networks, matrix operations in Java, Hopfield Neural Network, machine learning, feedforward backpropagation, Simulated a...
Buffer overflow(BOF) has been the most common form of vulnerability in software systems today, and many methods exist to defend software systems against BOF attacks. Among them, th...
Deok Jin Kim, Tae Hyung Kim, Jong Kim, Sung Je Hon...