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ARTMED
1999
92views more  ARTMED 1999»
14 years 9 months ago
Two-Stage Machine Learning model for guideline development
We present a Two-Stage Machine Learning (ML) model as a data mining method to develop practice guidelines and apply it to the problem of dementia staging. Dementia staging in clin...
Subramani Mani, William Rodman Shankle, Malcolm B....
IJKESDP
2010
117views more  IJKESDP 2010»
14 years 8 months ago
Constitution of Ms.PacMan player with critical-situation learning mechanism
Abstract— We previously proposed evolutionary fuzzy systems of playing Ms.PacMan for the competitions. As a consequence of the evolution, reflective action rules such that PacMa...
Hisashi Handa
VL
2010
IEEE
216views Visual Languages» more  VL 2010»
14 years 8 months ago
Explanatory Debugging: Supporting End-User Debugging of Machine-Learned Programs
Many machine-learning algorithms learn rules of behavior from individual end users, such as taskoriented desktop organizers and handwriting recognizers. These rules form a “prog...
Todd Kulesza, Simone Stumpf, Margaret M. Burnett, ...
PRICAI
1999
Springer
15 years 2 months ago
Rationality of Reward Sharing in Multi-agent Reinforcement Learning
Abstract. In multi-agent reinforcement learning systems, it is important to share a reward among all agents. We focus on the Rationality Theorem of Profit Sharing [5] and analyze ...
Kazuteru Miyazaki, Shigenobu Kobayashi
AAAI
2010
14 years 11 months ago
To Max or Not to Max: Online Learning for Speeding Up Optimal Planning
It is well known that there cannot be a single "best" heuristic for optimal planning in general. One way of overcoming this is by combining admissible heuristics (e.g. b...
Carmel Domshlak, Erez Karpas, Shaul Markovitch