소장자료
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003 | DE-He213▲ | ||
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020 | ▼a9783030766405▼9978-3-030-76640-5▲ | ||
024 | 7 | ▼a10.1007/978-3-030-76640-5▼2doi▲ | |
050 | 4 | ▼aQ334-342▲ | |
050 | 4 | ▼aTA347.A78▲ | |
082 | 0 | 4 | ▼a006.3▼223▲ |
245 | 1 | 0 | ▼aArtificial Intelligence and Machine Learning▼h[electronic resource] :▼b32nd Benelux Conference, BNAIC/Benelearn 2020, Leiden, The Netherlands, November 19–20, 2020, Revised Selected Papers /▼cedited by Mitra Baratchi, Lu Cao, Walter A. Kosters, Jefrey Lijffijt, Jan N. van Rijn, Frank W. Takes.▲ |
250 | ▼a1st ed. 2021.▲ | ||
264 | 1 | ▼aCham :▼bSpringer International Publishing :▼bImprint: Springer,▼c2021.▲ | |
300 | ▼aX, 203 p. 73 illus., 51 illus. in color.▼bonline resource.▲ | ||
336 | ▼atext▼btxt▼2rdacontent▲ | ||
337 | ▼acomputer▼bc▼2rdamedia▲ | ||
338 | ▼aonline resource▼bcr▼2rdacarrier▲ | ||
347 | ▼atext file▼bPDF▼2rda▲ | ||
490 | 1 | ▼aCommunications in Computer and Information Science,▼x1865-0937 ;▼v1398▲ | |
505 | 0 | ▼aEvaluating the Robustness of Question-Answering Models to Paraphrased Questions -- FlipOut: Uncovering Redundant Weights via Sign Flipping -- Evolving Virtual Embodied Agents using External Artifact Evaluations -- Continuous Surrogate-based Optimization Algorithms are Well-suited for Expensive Discrete Problems -- Comparing Correction Methods to Reduce Misclassification Bias -- A Spiking Neuron Implementation of Genetic Algorithms for Optimization -- Solving Hofstadter's Analogies using Structural Information Theory -- A Semantic Tableau Method for Argument Construction -- `Thy algorithm shalt not bear false witness': An Evaluation of Multiclass Debiasing Methods on Word Embeddings -- An Intelligent Tree Planning Approach using Location-based Social Networks Data -- Gaining Insight into Determinants of Physical Activity using Bayesian Network Learning -- Swarm Construction Coordinated through the Building Material.▲ | |
520 | ▼aChapter “Gaining Insight into Determinants of Physical Activity Using Bayesian Network Learning” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.▲ | ||
650 | 0 | ▼aArtificial intelligence.▲ | |
650 | 0 | ▼aComputer engineering.▲ | |
650 | 0 | ▼aComputer networks .▲ | |
650 | 0 | ▼aApplication software.▲ | |
650 | 0 | ▼aComputer science.▲ | |
650 | 0 | ▼aComputers.▲ | |
650 | 1 | 4 | ▼aArtificial Intelligence.▲ |
650 | 2 | 4 | ▼aComputer Engineering and Networks.▲ |
650 | 2 | 4 | ▼aComputer Engineering and Networks.▲ |
650 | 2 | 4 | ▼aComputer and Information Systems Applications.▲ |
650 | 2 | 4 | ▼aTheory of Computation.▲ |
650 | 2 | 4 | ▼aComputing Milieux.▲ |
700 | 1 | ▼aBaratchi, Mitra.▼eeditor.▼0(orcid)0000-0002-1279-9310▼1https://orcid.org/0000-0002-1279-9310▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aCao, Lu.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aKosters, Walter A.▼eeditor.▼0(orcid)0000-0001-8860-0390▼1https://orcid.org/0000-0001-8860-0390▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aLijffijt, Jefrey.▼eeditor.▼0(orcid)0000-0002-2930-5057▼1https://orcid.org/0000-0002-2930-5057▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼avan Rijn, Jan N.▼eeditor.▼0(orcid)0000-0003-2898-2168▼1https://orcid.org/0000-0003-2898-2168▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aTakes, Frank W.▼eeditor.▼0(orcid)0000-0001-5468-1030▼1https://orcid.org/0000-0001-5468-1030▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
710 | 2 | ▼aSpringerLink (Online service)▲ | |
773 | 0 | ▼tSpringer Nature eBook▲ | |
776 | 0 | 8 | ▼iPrinted edition:▼z9783030766399▲ |
776 | 0 | 8 | ▼iPrinted edition:▼z9783030766412▲ |
830 | 0 | ▼aCommunications in Computer and Information Science,▼x1865-0937 ;▼v1398▲ | |
856 | 4 | 0 | ▼uhttps://doi.org/10.1007/978-3-030-76640-5▲ |
Artificial Intelligence and Machine Learning[electronic resource] : 32nd Benelux Conference, BNAIC/Benelearn 2020, Leiden, The Netherlands, November 19–20, 2020, Revised Selected Papers
자료유형
국외eBook
서명/책임사항
Artificial Intelligence and Machine Learning [electronic resource] : 32nd Benelux Conference, BNAIC/Benelearn 2020, Leiden, The Netherlands, November 19–20, 2020, Revised Selected Papers / edited by Mitra Baratchi, Lu Cao, Walter A. Kosters, Jefrey Lijffijt, Jan N. van Rijn, Frank W. Takes.
판사항
1st ed. 2021.
형태사항
X, 203 p. 73 illus., 51 illus. in color. online resource.
총서사항
Communications in Computer and Information Science , 1865-0937 ; 1398
Communications in Computer and Information Science , 1865-0937 ; 1398
Communications in Computer and Information Science , 1865-0937 ; 1398
내용주기
Evaluating the Robustness of Question-Answering Models to Paraphrased Questions -- FlipOut: Uncovering Redundant Weights via Sign Flipping -- Evolving Virtual Embodied Agents using External Artifact Evaluations -- Continuous Surrogate-based Optimization Algorithms are Well-suited for Expensive Discrete Problems -- Comparing Correction Methods to Reduce Misclassification Bias -- A Spiking Neuron Implementation of Genetic Algorithms for Optimization -- Solving Hofstadter's Analogies using Structural Information Theory -- A Semantic Tableau Method for Argument Construction -- `Thy algorithm shalt not bear false witness': An Evaluation of Multiclass Debiasing Methods on Word Embeddings -- An Intelligent Tree Planning Approach using Location-based Social Networks Data -- Gaining Insight into Determinants of Physical Activity using Bayesian Network Learning -- Swarm Construction Coordinated through the Building Material.
요약주기
Chapter “Gaining Insight into Determinants of Physical Activity Using Bayesian Network Learning” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
주제
ISBN
9783030766405
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