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Sistem Fuzzy Terapan dengan Software R
Kemajuan dari metode kuantitatif telah mengaburkan batas antar bidang ilmu. Para peneliti di bidang sosial, ekonomi, sains dan teknologi telah berlomba-lomba dalam mengembangkan metode kuantitatif untuk meningkatkan obyektivitas dan transparansi. Hal ini ditandai oleh munculnya teknik-teknik analisis data yang canggih yang diterapkan pada semua bidang kajian. Keterbatasan dari metode Statistika klasik yaitu terdapat beberapa asumsi yang harus dipenuhi agar hasil analisis dapat dipertanggungjawabkan, pada penerapannya di dunia nyata, asumsi itu tidak mudah untuk dipenuhi. Hal ini mendorong peneliti mengembangkan metode yang minim atau bahkan bebas dari asumsi. Kecerdasan buatan merupakan pend...
Analisis Deret Waktu Univariat Linier
Analisis Deret Waktu Univariat Linier merupakan buku ajar statistika yang membahas bagaimana dan hanya satu data deret waktu dapat digali dengan deskriptif dasar, pemodelan dan peramalan sehingga menghasilkan suatu informasi yang bermanfaat. Deskriptif dasar menggunakan plot data deret waktu untuk menggali jenis pola, diagram pencar untuk melihat hubungan deret waktu dengan dirinya sendiri. Maksimum atau minimum, ukuran pemusatan rata-rata dan ukuran penyebaran kisaran di mana statistik deskriptif sangat erat hubungannya dengan analisis lanjutan. Teori statistika tentang nilai harapan, variansi, kovariansi dan korelasi dibutuhkan untuk mencari karateristik model. Memodelkan antara data deret...
Learning with Kernels
A comprehensive introduction to Support Vector Machines and related kernel methods. In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). This gave rise to a new class of theoretically elegant learning machines that use a central concept of SVMs—-kernels—for a number of learning tasks. Kernel machines provide a modular framework that can be adapted to different tasks and domains by the choice of the kernel function and the base algorithm. They are replacing neural networks in a variety of fields, including engineering, information retrieval, and bioinformatics. Learning with Kernels provides an introduction to SVMs and related kernel methods. Although the book begins with the basics, it also includes the latest research. It provides all of the concepts necessary to enable a reader equipped with some basic mathematical knowledge to enter the world of machine learning using theoretically well-founded yet easy-to-use kernel algorithms and to understand and apply the powerful algorithms that have been developed over the last few years.
Strategic Marketing
This text discusses how companies create competitive advantage through strategic marketing. Using established frameworks and concepts, it examines aspects of marketing strategy and thinking. It provides examples to facilitate the understanding of theoretical concepts.
Introduction to Machine Learning
Introduction -- Supervised learning -- Bayesian decision theory -- Parametric methods -- Multivariate methods -- Dimensionality reduction -- Clustering -- Nonparametric methods -- Decision trees -- Linear discrimination -- Multilayer perceptrons -- Local models -- Kernel machines -- Graphical models -- Brief contents -- Hidden markov models -- Bayesian estimation -- Combining multiple learners -- Reinforcement learning -- Design and analysis of machine learning experiments.
MATLAB: Easy Way of Learning
MATLAB: Easy Way of Learning, covers exactly what students need to know in an introductory course. This comprehensive book helps reader in understanding all the aspects of MATLAB basics and applications in an easy way. The authors explain concepts by balanced treatment of theoretical and practical concepts with easy-to-understand programming codes and executions. The book is suitable for the postgraduate and undergraduate students of engineering and sciences streams.
Discriminant Analysis and Applications
Discriminant Analysis and Applications comprises the proceedings of the NATO Advanced Study Institute on Discriminant Analysis and Applications held in Kifissia, Athens, Greece in June 1972. The book presents the theory and applications of Discriminant analysis, one of the most important areas of multivariate statistical analysis. This volume contains chapters that cover the historical development of discriminant analysis methods; logistic and quasi-linear discrimination; and distance functions. Medical and biological applications, and computer graphical analysis and graphical techniques for multidimensional data are likewise discussed. Statisticians, mathematicians, and biomathematicians will find the book very interesting.
Immunological Bioinformatics
Using bioinformatics methods to generate a systems-level view of the immune system; description of the main biological concepts and the new data-driven algorithms. Despite the fact that advanced bioinformatics methodologies have not been used as extensively in immunology as in other subdisciplines within biology, research in immunological bioinformatics has already developed models of components of the immune system that can be combined and that may help develop therapies, vaccines, and diagnostic tools for such diseases as AIDS, malaria, and cancer. In a broader perspective, specialized bioinformatics methods in immunology make possible for the first time a systems-level understanding of th...
Once in a Promised Land
They say there was or there wasn't in olden times a story as old as life, as young as this moment, a story that is yours and is mine. Once in a Promised Land is the story of Jassim and Salwa, who left the deserts of their native Jordan for those of Arizona, each chasing mirages of opportunity and freedom. Although the couple live far from Ground Zero, they cannot escape the dust cloud of paranoia settling over the nation. A hydrologist, Jassim believes passionately in his mission to make water accessible to all people, but his work is threatened by an FBI witch hunt for domestic terrorists. A Palestinian now twice displaced, Salwa embraces the American dream. She grapples to put down roots in an unwelcoming climate, becoming pregnant against her husband's wishes. When Jassim kills a teenage boy in a terrible accident and Salwa becomes hopelessly entangled with a shadowy young American, their tenuous lives in exile and their fragile marriage begin to unravel. Once in a Promised Land is a dramatic and achingly honest look at what it means to straddle cultures, to be viewed with suspicion, and to struggle to find safe haven.
