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Yoshitaka Matsumoto
Researcher at Ritsumeikan University
Publications - 6
Citations - 54
Yoshitaka Matsumoto is an academic researcher from Ritsumeikan University. The author has contributed to research in topics: Hidden Markov model & Club. The author has an hindex of 3, co-authored 5 publications receiving 54 citations.
Papers
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Book ChapterDOI
MMOG Player Classification Using Hidden Markov Models
TL;DR: The experimental results given in this paper show that Hidden Markov Models have higher recognition performance than the previous approach, especially for classification of players of different types but having similar action frequencies.
Identification of Player Types in Massively Multiplayer Online Games
TL;DR: This paper addresses the challenge of identification of player types in massively multiplayer online games (MMOGs) and demonstrates the approach using a PC.
MMOG Player Identification: A Step toward CRM of MMOGs
TL;DR: An effective approach for player identification is discussed, the results of which can be exploited for CRM of MMOGs, and a feature extraction method is proposed that is based on the frequency of each type of game items acquired by each player.
Book ChapterDOI
User Type Identification in Virtual Worlds
TL;DR: This chapter presented an efiective approach for identification of user types in virtual worlds and AMBR, adopted as the classifier, could successfully identify the type of unknown user agents and could give higher performance with the item-based features.
Hidden markov models with feature mapping: an application to mmog player classification
TL;DR: The resulting HMMs have recognition performance higher than those initialized either by random setting of parameters or by assigning an equivalent value to all parameters in a same parameter set, and comparable to those using a prior knowledge.