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Volumn , Issue , 2014, Pages 1622-1627

Information Selection in Noisy Environments with Large Action Spaces

Author keywords

active learning; exploration; information gain; information search

Indexed keywords

COGNITIVE SYSTEMS; INFORMATION RETRIEVAL; QUERY PROCESSING; SEARCH ENGINES;

EID: 85139228126     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (11)

References (6)
  • 2
    • 79251495432 scopus 로고    scopus 로고
    • Hypothesis generation, sparse categories, and the positive test strategy
    • Navarro, D. J., & Perfors, A. F. (2011). Hypothesis generation, sparse categories, and the positive test strategy. Psychological Review, 118, 120-134.
    • (2011) Psychological Review , vol.118 , pp. 120-134
    • Navarro, D. J.1    Perfors, A. F.2
  • 3
    • 84887013080 scopus 로고    scopus 로고
    • Children's sequential information search is sensitive to environmental probabilities
    • Nelson, J. D., Divjak, B., Gudmunsdottir, G., Martignon, L. F., & Meder, B. (2013). Children's sequential information search is sensitive to environmental probabilities. Cognition, 130, 74-80.
    • (2013) Cognition , vol.130 , pp. 74-80
    • Nelson, J. D.1    Divjak, B.2    Gudmunsdottir, G.3    Martignon, L. F.4    Meder, B.5
  • 4
    • 21844522687 scopus 로고
    • A rational analysis of the selection task as optimal data selection
    • Oaksford, M., & Chater, N. (1994). A rational analysis of the selection task as optimal data selection. Psychological Review, 101.
    • (1994) Psychological Review , vol.101
    • Oaksford, M.1    Chater, N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.