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ICML
2004
IEEE
14 years 9 months ago
Bayesian inference for transductive learning of kernel matrix using the Tanner-Wong data augmentation algorithm
In kernel methods, an interesting recent development seeks to learn a good kernel from empirical data automatically. In this paper, by regarding the transductive learning of the k...
Zhihua Zhang, Dit-Yan Yeung, James T. Kwok
MODELS
2010
Springer
13 years 7 months ago
Inferring Meta-models for Runtime System Data from the Clients of Management APIs
Abstract. A new trend in runtime system monitoring is to utilize MOFbased techniques in analyzing the runtime system data. Approaches and tools have been proposed to automatically ...
Hui Song, Gang Huang, Yingfei Xiong, Franck Chauve...
VLDB
1991
ACM
179views Database» more  VLDB 1991»
14 years 11 days ago
A Relationship Mechanism for a Strongly Typed Object-Oriented Database Programming Language
Object-oriented data models are receiving wide attention since they provide expressive ionmechanismsto model naturally and directly both structural and behavioral aspectsof comple...
Antonio Albano, Giorgio Ghelli, Renzo Orsini
PKDD
2010
Springer
313views Data Mining» more  PKDD 2010»
13 years 7 months ago
Topic Modeling for Personalized Recommendation of Volatile Items
One of the major strengths of probabilistic topic modeling is the ability to reveal hidden relations via the analysis of co-occurrence patterns on dyadic observations, such as docu...
Maks Ovsjanikov, Ye Chen
DSOM
2000
Springer
14 years 1 months ago
Operational Data Analysis: Improved Predictions Using Multi-computer Pattern Detection
Operational Data Analysis (ODA) automatically 1) monitors the performance of a computer through time, 2) stores such information in a data repository, 3) applies data-mining techn...
Ricardo Vilalta, Chidanand Apté, Sholom M. ...