Advances knowledge acquisition management (12 Ergebnisse)

Softcover. Zustand: Fair. Aus einer Bibliothek ausgesondert/ Stempel; Leichte Kratzer / Abnutzungen / Druckstellen. Since the recognition of knowledge as essential for intelligent systems in the 1970s and early 1980s, the efficient acquisition of knowledge has been a key research focus. Initially, expert systems concentrated on creating a suitable knowledge base by eliciting information from experts before deployment. Over time, alternative methods emerged, including incremental approaches that allowed for the initial construction of a provisional knowledge base, which could be refined through practical use. Additionally, some approaches aimed for fully automatic knowledge base construction using machine-learning techniques. Recently, there has been growing interest in ontology construction, particularly in creating reusable ontologies that can be shared across various users and domains. The Pacific Knowledge Acquisition Workshops (PKAW) have established a tradition of providing a platform for researchers to share innovative ideas on this topic, attracting participants globally, especially from the Pacific Rim region. PKAW is part of a series of international workshops on knowledge acquisition held in the Pacific Rim, Canada, and Europe over the past two decades. The previous workshop, PKAW 2004, focused on incremental knowledge acquisition, machine learning, neural networks, and data mining. …

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Zustand: Used. pp. 278.

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Since knowledge was recognized as a crucial part of intelligent systems in the 1970s and early 1980s, the problem of the systematic and efficient acquisition of knowledge was an important research problem. In the early days of expert systems, the focus of knowledge acquisition was to design a suitable knowledge base for the problem - main by eliciting the knowledge from available experts before the system was c- pleted and deployed. Over the years, alternative approaches were developed, such as incremental approaches which would build a provisional knowledge base initially and would improve the knowledge base while the system was used in practice. Other approaches sought to build knowledge bases fully automatically by employing machine-learning methods. In recent years, a significant interest developed regarding the problem of constructing ontologies. Of particular interest have been ontologies that could be re-used in a number of ways and could possibly be shared across diff- ent users as well as domains. The Pacific Knowledge Acquisition Workshops (PKAW) have a long tradition in providing a forum for researchers to exchange the latest ideas on the topic. Parti- pants come from all over the world but with a focus on the Pacific Rim region. PKAW is one of three international knowledge acquisition workshop series held in the Pacific-Rim, Canada and Europe over the last two decades. The previous Pacific Knowledge Acquisition Workshop, PKAW 2004, had a strong emphasis on inc- mental knowledge acquisition, machine learning, neural networks and data mining.…

Taschenbuch. Zustand: Neu. Advances in Knowledge Acquisition and Management | Pacific Rim Knowledge Acquisition Workshop, PKAW 2006, Guilin, China, August 7-8, 2006, Revised Selected Papers | Achim Hoffmann (u. a.) | Taschenbuch | xi | Englisch | 2006 | Springer | EAN 9783540689553 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

hardcover. Zustand: Very Good.

Zustand: gut. 2006. LNAI - 4303: Advances In Knowledge Acquisition And Management In deutscher Sprache. pages.

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 322 | Sprache: Englisch | Produktart: Bücher | The rise of artificial intelligence (AI) has revolutionized academic inquiry, offering powerful tools to enhance research capabilities and improve academic discovery across various fields. AI's capacity for data analysis, pattern recognition, and predictive modeling is transforming how researchers gather insights, design experiments, and interpret complex information. As AI becomes increasingly integrated into academia, it presents both unprecedented opportunities and significant challenges, including issues of data ethics, reproduction, and algorithm bias. To fully leverage the benefits of AI in academia, it is crucial to explore guidelines for responsible and equitable use of these technologies in research practice. The Rise of AI in Academic Inquiry analyzes the transformative role of generative artificial intelligence in academic research. This publication navigates the intricacies of AI technologies, including machine learning algorithms and large language models, while redefining traditional research methodologies, enhancing data collection and analysis, and influencing academic inquiry across diverse academic disciplines. This book covers topics such as AI ethics, data algorithms, and research methods, and is a useful resource for computer engineers, academicians, teachers, education professionals, researchers, and scientists.…

Zustand: New. pp. 342.