Lucidly Integrates Current Activities Focusing on both fundamentals and recent advances, Introduction to Machine Learning and Bioinformatics presents an informative and accessible account of the ways in which these two increasingly intertwined areas relate to each other. Examines Connections between Machine Learning & Bioinformatics The book begins with a brief historical overview of the technological developments in biology. It then describes the main problems in bioinformatics and the fundamental concepts and algorithms of machine learning. After forming this foundation, the authors explore how machine learning techniques apply to bioinformatics problems, such as electron density map interpretation, biclustering, DNA sequence analysis, and tumor classification. They also include exercises at the end of some chapters and offer supplementary materials on their website. Explores How Machine Learning Techniques Can Help Solve Bioinformatics Problems Shedding light on aspects of both machine learning and bioinformatics, this text shows how the innovative tools and techniques of machine learning help extract knowledge from the deluge of information produced by today’s biological experiments.
First title to ever present soft computing approaches and their application in data mining, along with the traditional hard-computing approaches Addresses the principles of multimedia data compression techniques (for image, video, text) and their role in data mining Discusses principles and classical algorithms on string matching and their role in data mining
This book addresses the need for a unified framework describing how soft computing and machine learning techniques can be judiciously formulated and used in building efficient pattern recognition models. The text reviews both established and cutting-edge research, providing a careful balance of theory, algorithms, and applications, with a particular emphasis given to applications in computational biology and bioinformatics. Features: integrates different soft computing and machine learning methodologies with pattern recognition tasks; discusses in detail the integration of different techniques for handling uncertainties in decision-making and efficiently mining large biological datasets; presents a particular emphasis on real-life applications, such as microarray expression datasets and magnetic resonance images; includes numerous examples and experimental results to support the theoretical concepts described; concludes each chapter with directions for future research and a comprehensive bibliography.
Swami Vivekananda, born Narendranath Datta, was a key figure in the introduction of Indian philosophies of Vedanta and Yoga to the Western world. He is best remembered for his speech at the Parliament of the World's Religions in Chicago in 1893, where he addressed the audience as "Sisters and Brothers of America." In "Messenger Of Indian Wisdom," Sushmita Dutta delves deep into the life and teachings of Vivekananda, portraying his profound influence both in India and abroad. The biography traces Vivekananda's journey from his early life in Kolkata to his travels in America and Europe, emphasizing his role in revitalizing Indian spirituality and introducing Vedanta philosophy to the world. Through Dutta's detailed account, readers get a glimpse of Vivekananda's commitment to social service, his views on religion, and his unwavering love for humanity.
Bhagat Singh was a prominent figure in India's fight for independence against British colonial rule. Born in present-day Pakistan, he was deeply influenced by the British mistreatment of Indian people and became involved in the nationalist movement at a young age. Bhagat Singh was a revolutionary socialist who believed in the power of mass mobilization and advocated for an inclusive and egalitarian society based on socialist principles. He is remembered for his daring acts of protest against British rule, including his role in the Lahore Conspiracy Case, which ultimately led to his execution by hanging. Bhagat Singh's sacrifice and commitment to the cause of Indian independence has made him a national hero in India, and his ideas and actions continue to inspire generations of Indians to fight for social justice and equality
First title to ever present soft computing approaches and their application in data mining, along with the traditional hard-computing approaches Addresses the principles of multimedia data compression techniques (for image, video, text) and their role in data mining Discusses principles and classical algorithms on string matching and their role in data mining
The 7th International Workshop on Fuzzy Logic and Applications, held in Camogli, Italy in July 2007, presented the latest findings in the field. This volume features the refereed proceedings from that meeting. It includes 84 full papers as well as three keynote speeches. The papers are organized into topical sections covering fuzzy set theory, fuzzy information access and retrieval, fuzzy machine learning, and fuzzy architectures and systems.
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