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ADMA
2006
Springer
143views Data Mining» more  ADMA 2006»
14 years 14 days ago
Robust Collective Classification with Contextual Dependency Network Models
Abstract. In order to exploit the dependencies in relational data to improve predictions, relational classification models often need to make simultaneous statistical judgments abo...
YongHong Tian, Tiejun Huang, Wen Gao
IDA
2003
Springer
14 years 1 months ago
Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies
Abstract. Many examples exist of multivariate time series where dependencies between variables change over time. If these changing dependencies are not taken into account, any mode...
Allan Tucker, Xiaohui Liu
KBS
2000
122views more  KBS 2000»
13 years 8 months ago
Creating knowledge maps by exploiting dependent relationships
Knowledge is an interesting concept that has attracted the attention of philosophers for thousands of years. In more recent times, researchers have investigated knowledge in a mor...
John L. Gordon
CONEXT
2009
ACM
13 years 9 months ago
Macroscope: end-point approach to networked application dependency discovery
Enterprise and data center networks consist of a large number of complex networked applications and services that depend upon each other. For this reason, they are difficult to ma...
Lucian Popa 0002, Byung-Gon Chun, Ion Stoica, Jaid...
CORR
2010
Springer
151views Education» more  CORR 2010»
13 years 8 months ago
Redundancies in Dependently Typed Lambda Calculi and Their Relevance to Proof Search
Dependently typed -calculi such as the Logical Framework (LF) are capable of representing relationships between terms through types. By exploiting the "formulas-as-types"...
Zachary Snow, David Baelde, Gopalan Nadathur