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» Embedding Heterogeneous Data Using Statistical Models
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VLDB
2001
ACM
190views Database» more  VLDB 2001»
15 years 5 months ago
LEO - DB2's LEarning Optimizer
Most modern DBMS optimizers rely upon a cost model to choose the best query execution plan (QEP) for any given query. Cost estimates are heavily dependent upon the optimizer’s e...
Michael Stillger, Guy M. Lohman, Volker Markl, Mok...
WSNA
2003
ACM
15 years 5 months ago
Cleaning and querying noisy sensors
Sensor networks have become an important source of data with numerous applications in monitoring various real-life phenomena as well as industrial applications and traffic contro...
Eiman Elnahrawy, Badri Nath
142
Voted
TVLSI
2008
187views more  TVLSI 2008»
15 years 12 days ago
A Design Flow for Architecture Exploration and Implementation of Partially Reconfigurable Processors
During the last years, the growing application complexity, design, and mask costs have compelled embedded system designers to increasingly consider partially reconfigurable applica...
Kingshuk Karuri, Anupam Chattopadhyay, Xiaolin Che...
SIGMOD
2008
ACM
191views Database» more  SIGMOD 2008»
16 years 20 days ago
Efficient aggregation for graph summarization
Graphs are widely used to model real world objects and their relationships, and large graph datasets are common in many application domains. To understand the underlying character...
Yuanyuan Tian, Richard A. Hankins, Jignesh M. Pate...
ACL
2011
14 years 4 months ago
Combining Morpheme-based Machine Translation with Post-processing Morpheme Prediction
This paper extends the training and tuning regime for phrase-based statistical machine translation to obtain fluent translations into morphologically complex languages (we build ...
Ann Clifton, Anoop Sarkar