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ECML
2006
Springer
15 years 9 months ago
Combinatorial Markov Random Fields
Abstract. A combinatorial random variable is a discrete random variable defined over a combinatorial set (e.g., a power set of a given set). In this paper we introduce combinatoria...
Ron Bekkerman, Mehran Sahami, Erik G. Learned-Mill...
VLDB
1998
ACM
147views Database» more  VLDB 1998»
15 years 9 months ago
Scalable Techniques for Mining Causal Structures
Mining for association rules in market basket data has proved a fruitful areaof research. Measures such as conditional probability (confidence) and correlation have been used to i...
Craig Silverstein, Sergey Brin, Rajeev Motwani, Je...
GECCO
2005
Springer
108views Optimization» more  GECCO 2005»
15 years 11 months ago
Evolving recurrent models using linear GP
Turing complete Genetic Programming (GP) models introduce the concept of internal state, and therefore have the capacity for identifying interesting temporal properties. Surprisin...
Xiao Luo, Malcolm I. Heywood, A. Nur Zincir-Heywoo...
DOLAP
2003
ACM
15 years 10 months ago
Implementing operations to navigate semantic star schemas
In the last years, lots of work have been devoted to multidimensional modeling, star shape schemas and OLAP operations. However, “drill-across” has not captured as much attent...
Alberto Abelló, José Samos, Fè...
VLDB
2004
ACM
96views Database» more  VLDB 2004»
16 years 5 months ago
Multidimensional data modeling for location-based services
With the recent and continuing advances in areas such as wireless communications and positioning technologies, mobile, locationbased services are becoming possible. Such services ...
Christian S. Jensen, Augustas Kligys, Torben Bach ...