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This book presents the state of the art in research on intrinsically motivated learning and presents novel tools for research. It also identifies related scientific and technological open challenges as well as promising research directions.
The breadth and depth of the contributions demonstrate not only the crucial role that computational methods play in the study of a wide range of organometallic... Læs mere
The contributors, all experts in their fields, address language in the brain, production of sentences and dialogues, language... Læs mere
This book explores ways to decrease gaps between prescriptive theory and real-life decision making. Shows how imperfect decision makers can outperform experts, how emotions influence rationality and how to decrease imperfection by reducing knowledge available.
Computational intelligence techniques are becoming more and more important for automated problem solving... Læs mere
Given the extensive application of random walks in virtually every science related discipline, we may be at the threshold of yet another problem solving paradigm... Læs mere
Finally, the diversity of mashups is tracked through a few application areas: mathematical knowledge, speech, crisis and disaster management,... Læs mere
Boasting a wealth of experimental results and algorithms as well as a clear exposition of the mathematical background, this introduction to adaptive digital filtering guides the reader from the theoretical fundamentals to real-life technical applications.
It analyses a selection of common capabilities (services capturing... Læs mere
This book contains the proceedings of the 4th Workshop on Complex Networks CompleNet. Topics include social networks and social media, opinion and innovation diffusion, synchronization, as well as theory, modeling and metrics of Complex Networks.
The work introduces the fundamentals concerning the measure of discrete information, the modeling of discrete sources without and with a memory, as well as... Læs mere
This monograph will provide an in-depth mathematical treatment of modern multiple test procedures controlling the false discovery rate (FDR) and related error measures, particularly addressing applications to fields such as genetics, proteomics, neuroscience and general biology.