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Adriana Belletti here collects work by scholars presented at the University of Siena in connection with a visit by Noam Chomsky. The book's eight articles touch on broader theoretical questions related to Chomsky's Minimalist Program in particular. Contributors include Guglielmo Cinque, Richard Kayne, Luigi Rizzi, Noam Chomsky, and others.
The volume contains 18 contributions from senior and junior scholars covering core issues within the theoretical investigation of the architecture and the mechanisms of the faculty of language, with particular emphasis on the computational component. They all pursue a comparative approach, investigating and comparing different languages and dialects or comparing different modes of acquisition, as in Adriana Belletti’s work, to whom the volume is dedicated. The papers in the first part (by Chomsky, Rizzi, Bianchi & Chesi, Cinque, Costa, Calabrese) deal with theoretical issues such as labeling, the cartography of structures and the locality of derivations in a broad sense. The papers in the second part (by Haegeman & Lohndal, Delfitto & Fiorin, Cruschina, Lahousse, Di Domenico and Contemori, Dal Pozzo & Matteini) concentrate on the realization of structure relative to discourse, particularly on topic and focus positions in the vP periphery, and on referential dependencies. The third part collects papers (by Cardinaletti & Volpato, Friedmann, Yachini & Szterman, Snyder & Hyams, Hamann & Tuller, Cecchetto & Donati, Grewendorf & Poletto) that specifically target intervention effects in relative clauses as apparent in different structures, different languages, and different populations.
This is one of the only books to provide a complete and coherent review of the theory of genetic programming (GP). In doing so, it provides a coherent consolidation of recent work on the theoretical foundations of GP. A concise introduction to GP and genetic algorithms (GA) is followed by a discussion of fitness landscapes and other theoretical approaches to natural and artificial evolution. Having surveyed early approaches to GP theory it presents new exact schema analysis, showing that it applies to GP as well as to the simpler GAs. New results on the potentially infinite number of possible programs are followed by two chapters applying these new techniques.
Structures of Memory turns to the landscape of contemporary Berlin, particularly places marked by the presence of the Nazi regime, in order to understand how some places of great cruelty or great heroism are forgotten by all but eyewitnesses, while others become the site of public ceremonies, museums, or commemorative monuments.
Both Freud and Lacan defined the transference as the ego's last stand—its final desperate attempt to keep the truth of the unconscious at bay. Both also viewed the transference as a social phenomenon. In The Structures of Love James Penney argues that transference is the concept with which psychoanalysis thinks through the unconscious demands that circumscribe and can sabotage our creative initiatives in the arts and politics. Penney suggests a method of cultural analysis that enables us to identity the transformative potential of genuine artistic and political acts. He stages a dialogue between Lacan's psychoanalysis and the philosophy of Alain Badiou; includes chapters on Frantz Fanon and Jean Genet, Chantal Akerman and Lucien Freud; and explores the aesthetic, political, and ethical consequences of the transference idea, pushing it into exciting new territory.
Dealing with the advances in the art and practice of designing and building infrastructures in which the structural and architectonic values are consciously combined, this title includes abstracts and searchable full paper CD-ROM from the 3rd ICAS conference held in Guimarães, Portugal.
This book constitutes the refereed proceedings of the 15th International Conference entitled Beyond Databases, Architectures and Structures, BDAS 2019, held in Ustroń, Poland, in May 2019. It consists of 26 carefully reviewed papers selected from 69 submissions. The papers are organized in topical sections, namely big data and cloud computing; architectures, structures and algorithms for efficient data processing and analysis; artificial intelligence, data mining and knowledge discovery; image analysis and multimedia mining; bioinformatics and biomedical data analysis; industrial applications; networks and security.
Introduction -- Array-based lists -- Linked lists -- Skiplists -- Hash tables -- Binary trees -- Random binary search trees -- Scapegoat trees -- Red-black trees -- Heaps -- Sorting algorithms -- Graphs -- Data structures for integers -- External memory searching.
Advanced Algorithms and Data Structures introduces a collection of algorithms for complex programming challenges in data analysis, machine learning, and graph computing. Summary As a software engineer, you’ll encounter countless programming challenges that initially seem confusing, difficult, or even impossible. Don’t despair! Many of these “new” problems already have well-established solutions. Advanced Algorithms and Data Structures teaches you powerful approaches to a wide range of tricky coding challenges that you can adapt and apply to your own applications. Providing a balanced blend of classic, advanced, and new algorithms, this practical guide upgrades your programming toolbox with new perspectives and hands-on techniques. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Can you improve the speed and efficiency of your applications without investing in new hardware? Well, yes, you can: Innovations in algorithms and data structures have led to huge advances in application performance. Pick up this book to discover a collection of advanced algorithms that will make you a more effective developer. About the book Advanced Algorithms and Data Structures introduces a collection of algorithms for complex programming challenges in data analysis, machine learning, and graph computing. You’ll discover cutting-edge approaches to a variety of tricky scenarios. You’ll even learn to design your own data structures for projects that require a custom solution. What's inside Build on basic data structures you already know Profile your algorithms to speed up application Store and query strings efficiently Distribute clustering algorithms with MapReduce Solve logistics problems using graphs and optimization algorithms About the reader For intermediate programmers. About the author Marcello La Rocca is a research scientist and a full-stack engineer. His focus is on optimization algorithms, genetic algorithms, machine learning, and quantum computing. Table of Contents 1 Introducing data structures PART 1 IMPROVING OVER BASIC DATA STRUCTURES 2 Improving priority queues: d-way heaps 3 Treaps: Using randomization to balance binary search trees 4 Bloom filters: Reducing the memory for tracking content 5 Disjoint sets: Sub-linear time processing 6 Trie, radix trie: Efficient string search 7 Use case: LRU cache PART 2 MULTIDEMENSIONAL QUERIES 8 Nearest neighbors search 9 K-d trees: Multidimensional data indexing 10 Similarity Search Trees: Approximate nearest neighbors search for image retrieval 11 Applications of nearest neighbor search 12 Clustering 13 Parallel clustering: MapReduce and canopy clustering PART 3 PLANAR GRAPHS AND MINIMUM CROSSING NUMBER 14 An introduction to graphs: Finding paths of minimum distance 15 Graph embeddings and planarity: Drawing graphs with minimal edge intersections 16 Gradient descent: Optimization problems (not just) on graphs 17 Simulated annealing: Optimization beyond local minima 18 Genetic algorithms: Biologically inspired, fast-converging optimization
In Beyond E-Business: Towards Networked Structures Paul Grefen returns with his tried and tested BOAT framework for e-business, now fully expanded and updated with the very latest overview of digitally connected business; from business models, organization structures and architecture, to information technology. What used to be termed "e-business" is now simply business as usual. Today’s successful organizations are complex; they are part of dynamic business networks built on digital channels, going far beyond traditional e-business. This text provides invaluable insights of modern e-business integrated with networked business, going much further than the usual analysis of traditional e-business texts. Included is coverage of the Big Five—social media, mobile computing, big data, cloud computing, and the internet of things --as well as service-oriented business and technology. This essential text provides a compact roadmap to networked e-business for engineering, information systems or business students as well as professionals in the field.