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| | Hybrid Methods in Pattern RecognitionThe discipline of pattern recognition has seen enormous progress since its beginnings more than four decades ago. Over the years various approaches have emerged, based on statistical decision theory, structural matching and parsing, neural networks, fuzzy logic, artificial intelligence, evolutionary computing, and others. Obviously, these... | | |
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Data Mining and Machine Learning in Cybersecurity
In the emerging era of Web 3.0, securing cyberspace has gradually evolved into a
critical organizational and national research agenda inviting interest from a multidisciplinary
scientific workforce. There are many avenues into this area, and, in recent
research, machine-learning and data-mining techniques have been applied to design,... | | Objects, Components, and Frameworks with UML: The Catalysis(SM) Approach ". . . We found Catalysis to be the first comprehensive object-oriented methodology to unify the concepts of objects, frameworks, and component technologies." John McGehee, Senior Architect, Texas Instruments Works Project
Objects, Components, and Frameworks with UML: The Catalysis Approach is where you will... | | Communicating with XML
XML (Extensible Markup Language) is the lingua franca in contemporary networked
environments. It is intended to support communication between software modules,
particularly on the Web, as well as communication between people involved in
developing new XML-based solutions. Developing the new solutions for a specifi c
domain or... |
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