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ICCV
2005
IEEE
16 years 1 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
ICAC
2009
IEEE
15 years 5 months ago
Multi-perspective evaluation of self-healing systems using simple probabilistic models
In this paper we construct an evaluation framework for a self-healing system, VM-Rejuv – a virtual machine based rejuvenation scheme for web-application servers – using simple...
Rean Griffith, Gail E. Kaiser, Javier Alonso L&oac...
CIKM
2007
Springer
15 years 5 months ago
Parameter sensitivity in the probabilistic model for ad-hoc retrieval
The term frequency normalisation parameter sensitivity is an important issue in the probabilistic model for Information Retrieval. A high parameter sensitivity indicates that a sl...
Ben He, Iadh Ounis
AIRS
2005
Springer
15 years 4 months ago
A Probabilistic Model for Music Recommendation Considering Audio Features
In order to make personalized recommendations, many collaborative music recommender systems (CMRS) focused on capturing precise similarities among users or items based on user hist...
Qing Li, Sung-Hyon Myaeng, Donghai Guan, Byeong Ma...
ILP
2005
Springer
15 years 4 months ago
Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models
Abstract. Logical Bayesian Networks (LBNs) have recently been introduced as another language for knowledge based model construction of Bayesian networks, besides existing languages...
Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe...