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AIPS
2000
13 years 8 months ago
Probabilistic Hybrid Action Models for Predicting Concurrent Percept-Driven Robot Behavior
This paper develops Probabilistic Hybrid Action Models (PHAMs), a realistic causal model for predicting the behavior generated by modern concurrent percept-driven robot plans. PHA...
Michael Beetz, Henrik Grosskreutz
KDD
2005
ACM
180views Data Mining» more  KDD 2005»
14 years 1 months ago
Information retrieval based on collaborative filtering with latent interest semantic map
In this paper, we propose an information retrieval model called Latent Interest Semantic Map (LISM), which features retrieval composed of both Collaborative Filtering(CF) and Prob...
Noriaki Kawamae, Katsumi Takahashi
EMSOFT
2009
Springer
14 years 2 months ago
Probabilistic modeling of data cache behavior
In this paper, we propose a formal analysis approach to estimate the expected (average) data cache access time of an application across all possible program inputs. Towards this g...
Vinayak Puranik, Tulika Mitra, Y. N. Srikant
AAI
2002
109views more  AAI 2002»
13 years 7 months ago
Probabilistic Assessment of User's Emotions in Educational Games
We present a probabilistic model to monitor a user's emotions and engagement during the interaction with educational games. We illustrate how our probabilistic model assesses...
Cristina Conati
CDC
2009
IEEE
143views Control Systems» more  CDC 2009»
13 years 11 months ago
Identification of Probability weighted multiple ARX models and its application to behavior analysis
This paper proposes a Probability weighted ARX (PrARX) model wherein the multiple ARX models are composed by the probabilistic weighting functions. As the probabilistic weighting f...
Shun Taguchi, Tatsuya Suzuki, Soichiro Hayakawa, S...