• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/

Digital Library


Search: "[ keyword: Learning ]" (154)
  1. 141. A Study on the Structural Equation Model for Students' Satisfaction in the Blended Leaning Environment
    Gyun Heo, Vol. 10, No. 1, pp. 135-144, Feb. 2009
    Keywords: Blended Learning, Learning Satisfaction, Structural Equation Model
  2. 142. Artificial Engine Development through Reinforcement Learning on Jul-Gonu Game
    Yong-Woo Shin, Vol. 10, No. 1, pp. 93-100, Feb. 2009
    Keywords: Reinforcement Learning, Artificial intelligence, Board Game, Q Learning
  3. 143. A Naive Bayesian-based Model of the Opponent's Policy for Efficient Multiagent Reinforcement Learning
    Ki-Duk Kwon, Vol. 9, No. 6, pp. 165-178, Dec. 2008
    Keywords: Multiagent, Reinforcement Learning, Naive Bayesian
  4. 144. A Study on UMPC's Role in u-Learning
    Mun-Ho Yi, Mi-Ryang Kim, Vol. 9, No. 6, pp. 127-140, Dec. 2008
    Keywords: Ultra Mobile Personal Computer, Inquiry-Based Learning, u-learning
  5. 145. A Design of The Tailored Learning Navigation based on The Learning Pattern of Learner
    Hwa-Young Jeong, Vol. 9, No. 6, pp. 109-116, Dec. 2008
    Keywords: E-Learning System, Learning Navigation, CSP
  6. 146. Need Analysis for Educational Use of Personal Multimedia Player(PMP) focusing on Roles of Teachers in u-Learning
  7. 147. A Study on the use factor of the Cyber Home Learning Service
    Gyun Heo, Vol. 9, No. 3, pp. 159-168, Jun. 2008
    Keywords: Cyber Home Learning Service, Technology Acceptance Model
  8. 148. Control of Intelligent Characters using Reinforcement Learning
  9. 149. Component based Self-Directed E-Learning System using Item Revision Difficulty
    Hwa-Young Jeong, Vol. 7, No. 6, pp. 131-142, Dec. 2006
    Keywords: CBD
  10. 150. An Improvement of Accuracy for NaiveBayes by Using Large Word Sets
    Lee Jae-Moon, Vol. 7, No. 3, pp. 169-0, Jun. 2006
    Keywords: Accuracy, Machine Learning, NaiveBayes, Document Classification, Large Item Sets