Search (4 results, page 1 of 1)

  • × classification_ss:"54.72 (Künstliche Intelligenz)"
  1. Bostrom, N.: Superintelligenz : Szenarien einer kommenden Revolution (2016) 0.01
    0.0078120497 = product of:
      0.054684345 = sum of:
        0.054684345 = weight(_text_:global in 4318) [ClassicSimilarity], result of:
          0.054684345 = score(doc=4318,freq=2.0), product of:
            0.19788647 = queryWeight, product of:
              5.002325 = idf(docFreq=807, maxDocs=44218)
              0.0395589 = queryNorm
            0.276342 = fieldWeight in 4318, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              5.002325 = idf(docFreq=807, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4318)
      0.14285715 = coord(1/7)
    
    Abstract
    Was geschieht, wenn es uns eines Tages gelingt, eine Maschine zu entwickeln, die die menschliche Intelligenz auf so gut wie allen Gebieten übertrifft? Klar ist: Eine solche Superintelligenz wäre enorm mächtig und würde uns vor riesige Kontroll- und Steuerungsprobleme stellen. Mehr noch: Vermutlich würde die Zukunft der menschlichen Spezies in ihren Händen liegen, so wie heute die Zukunft der Gorillas von uns abhängt. Nick Bostrom nimmt uns mit auf eine faszinierende Reise in die Welt der Orakel und Genies, der Superrechner und Gehirnsimulationen, aber vor allem in die Labore dieser Welt, in denen derzeit fieberhaft an der Entwicklung einer künstlichen Intelligenz gearbeitet wird. Er skizziert mögliche Szenarien, wie die Geburt der Superintelligenz vonstattengehen könnte, und widmet sich ausführlich den Folgen dieser Revolution. Sie werden global sein und unser wirtschaftliches, soziales und politisches Leben tief greifend verändern. Wir müssen handeln, und zwar kollektiv, bevor der Geist aus der Flasche gelassen ist - also jetzt! Das ist die eminent politische Botschaft dieses so spannenden wie wichtigen Buches.
  2. Pang, B.; Lee, L.: Opinion mining and sentiment analysis (2008) 0.01
    0.0063510193 = product of:
      0.044457134 = sum of:
        0.044457134 = weight(_text_:personal in 1171) [ClassicSimilarity], result of:
          0.044457134 = score(doc=1171,freq=2.0), product of:
            0.19948503 = queryWeight, product of:
              5.0427346 = idf(docFreq=775, maxDocs=44218)
              0.0395589 = queryNorm
            0.22285949 = fieldWeight in 1171, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              5.0427346 = idf(docFreq=775, maxDocs=44218)
              0.03125 = fieldNorm(doc=1171)
      0.14285715 = coord(1/7)
    
    Abstract
    An important part of our information-gathering behavior has always been to find out what other people think. With the growing availability and popularity of opinion-rich resources such as online review sites and personal blogs, new opportunities and challenges arise as people can, and do, actively use information technologies to seek out and understand the opinions of others. The sudden eruption of activity in the area of opinion mining and sentiment analysis, which deals with the computational treatment of opinion, sentiment, and subjectivity in text, has thus occurred at least in part as a direct response to the surge of interest in new systems that deal directly with opinions as a first-class object. Opinion Mining and Sentiment Analysis covers techniques and approaches that promise to directly enable opinion-oriented information-seeking systems. The focus is on methods that seek to address the new challenges raised by sentiment-aware applications, as compared to those that are already present in more traditional fact-based analysis. The survey includes an enumeration of the various applications, a look at general challenges and discusses categorization, extraction and summarization. Finally, it moves beyond just the technical issues, devoting significant attention to the broader implications that the development of opinion-oriented information-access services have: questions of privacy, vulnerability to manipulation, and whether or not reviews can have measurable economic impact. To facilitate future work, a discussion of available resources, benchmark datasets, and evaluation campaigns is also provided. Opinion Mining and Sentiment Analysis is the first such comprehensive survey of this vibrant and important research area and will be of interest to anyone with an interest in opinion-oriented information-seeking systems.
  3. Keyser, P. de: Indexing : from thesauri to the Semantic Web (2012) 0.00
    0.0022970077 = product of:
      0.016079053 = sum of:
        0.016079053 = product of:
          0.032158107 = sum of:
            0.032158107 = weight(_text_:22 in 3197) [ClassicSimilarity], result of:
              0.032158107 = score(doc=3197,freq=2.0), product of:
                0.13852853 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0395589 = queryNorm
                0.23214069 = fieldWeight in 3197, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.046875 = fieldNorm(doc=3197)
          0.5 = coord(1/2)
      0.14285715 = coord(1/7)
    
    Date
    24. 8.2016 14:03:22
  4. Lenzen, M.: Künstliche Intelligenz : was sie kann & was uns erwartet (2018) 0.00
    0.0019141734 = product of:
      0.013399213 = sum of:
        0.013399213 = product of:
          0.026798425 = sum of:
            0.026798425 = weight(_text_:22 in 4295) [ClassicSimilarity], result of:
              0.026798425 = score(doc=4295,freq=2.0), product of:
                0.13852853 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0395589 = queryNorm
                0.19345059 = fieldWeight in 4295, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=4295)
          0.5 = coord(1/2)
      0.14285715 = coord(1/7)
    
    Date
    18. 6.2018 19:22:02