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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.

Life" is an inspiring and thought-provoking self-help book that encourages readers to embrace the fleeting nature of life and make the most of every moment. With a focus on the concept of carpe diem, meaning "seize the day," this book aims to empower individuals to live fully and authentically, free from regrets and missed opportunities. Throughout the book, readers are encouraged to reflect on their values, priorities, and what truly matters to them. It provides guidance on finding balance, setting boundaries, and making conscious choices that align with their authentic selves.