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» Embedding Heterogeneous Data Using Statistical Models
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SIGIR
2009
ACM
15 years 7 months ago
Extracting structured information from user queries with semi-supervised conditional random fields
When search is against structured documents, it is beneficial to extract information from user queries in a format that is consistent with the backend data structure. As one step...
Xiao Li, Ye-Yi Wang, Alex Acero
ESWA
2011
230views Database» more  ESWA 2011»
14 years 7 months ago
Multi-objective genetic algorithms for scheduling of radiotherapy treatments for categorised cancer patients
This paper presents a multi-objective optimisation model and algorithms for scheduling of radiotherapy treatments for categorised cancer patients. The model is developed considerin...
Dobrila Petrovic, Mohammad Morshed, Sanja Petrovic
101
Voted
SDM
2010
SIAM
259views Data Mining» more  SDM 2010»
15 years 2 months ago
Semi-supervised Bio-named Entity Recognition with Word-Codebook Learning
We describe a novel semi-supervised method called WordCodebook Learning (WCL), and apply it to the task of bionamed entity recognition (bioNER). Typical bioNER systems can be seen...
Pavel P. Kuksa, Yanjun Qi
106
Voted
SAINT
2006
IEEE
15 years 6 months ago
PaxonDHT: Achieving Consensus in Distributed Hash Tables
Despite the scalability, availability and resiliency potential suggested by Distributed Hash Tables, their lack of support for replication of mutable data and for strong consisten...
Ben Temkow, Anne-Marie Bosneag, Xinjie Li, Monica ...
122
Voted
SAC
2000
ACM
15 years 5 months ago
Parallel C++ for the Java Virtual Machine
Object-oriented modeling and design is a way of solving problems using models based upon real-world concepts. In this paradigm, the fundamental construct is the object, an entity ...
Timothy E. Denehy, Chang-Hyun Jo