Most tasks require a person or an automated system to reason - to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model
The art of Louise Bourgeois stages a dynamic encounter between modern art and psychoanalysis, argues Mignon Nixon in the first full-scale critical study of the artist''s work. A..
Some critics view the postwar avant-garde as the empty recycling of forms and strategies from the first two decades of the twentieth century. Others view it, more positively, as a..
Media critics remain captivated by the modernist myth of the new: they assume that digital technologies such as the World Wide Web, virtual reality, and computer graphics must..
Eva Hesse’s distinctive process-based art exerted a powerful influence on minimalist artists of the 1960s and continues to inspire artists today. Using industrial materials such..
Recent progress in VLSI provides massive parallelism but general purpose parallel computers remain elusive due to limited communications performance. This book proposes a new high..