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SIGGRAPH
1992
ACM
15 years 11 months ago
Generative modeling: a symbolic system for geometric modeling
This paper discusses a new, symbolic approach to geometric modeling called generative modeling. The approach allows specification, rendering, and analysis of a wide variety of sha...
John M. Snyder, James T. Kajiya
RECOMB
2007
Springer
16 years 7 months ago
A Feature-Based Approach to Modeling Protein-DNA Interactions
Transcription factor (TF) binding to its DNA target site is a fundamental regulatory interaction. The most common model used to represent TF binding specificities is a position spe...
Eilon Sharon, Eran Segal
222
Voted
ICDM
2007
IEEE
150views Data Mining» more  ICDM 2007»
16 years 1 months ago
Connections between Mining Frequent Itemsets and Learning Generative Models
Frequent itemsets mining is a popular framework for pattern discovery. In this framework, given a database of customer transactions, the task is to unearth all patterns in the for...
Srivatsan Laxman, Prasad Naldurg, Raja Sripada, Ra...
ER
1994
Springer
121views Database» more  ER 1994»
15 years 11 months ago
An Executable Meta Model for Re-Engineering of Database Schemas
A logical database schema, e.g. a relational one, is an implementation of a speci cation, e.g. an entity-relationship diagram. Upcoming new data models and the necessity of seamle...
Manfred A. Jeusfeld, Uwe A. Johnen
AAAI
2008
15 years 9 months ago
Structure Learning on Large Scale Common Sense Statistical Models of Human State
Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...
William Pentney, Matthai Philipose, Jeff A. Bilmes