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KDD
2008
ACM
183views Data Mining» more  KDD 2008»
16 years 7 months ago
Knowledge transfer via multiple model local structure mapping
The effectiveness of knowledge transfer using classification algorithms depends on the difference between the distribution that generates the training examples and the one from wh...
Jing Gao, Wei Fan, Jing Jiang, Jiawei Han
DILS
2005
Springer
16 years 6 days ago
Information Integration and Knowledge Acquisition from Semantically Heterogeneous Biological Data Sources
Abstract. We present INDUS (Intelligent Data Understanding System), a federated, query-centric system for knowledge acquisition from autonomous, distributed, semantically heterogen...
Doina Caragea, Jyotishman Pathak, Jie Bao, Adrian ...
JMLR
2002
157views more  JMLR 2002»
15 years 6 months ago
Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions
This paper introduces the problem of combining multiple partitionings of a set of objects into a single consolidated clustering without accessing the features or algorithms that d...
Alexander Strehl, Joydeep Ghosh
BCB
2010
140views Bioinformatics» more  BCB 2010»
15 years 1 months ago
Guiding belief propagation using domain knowledge for protein-structure determination
A major bottleneck in high-throughput protein crystallography is producing protein-structure models from an electrondensity map. In previous work, we developed Acmi, a probabilist...
Ameet Soni, Craig A. Bingman, Jude W. Shavlik
TKDE
2012
208views Formal Methods» more  TKDE 2012»
13 years 9 months ago
A Knowledge-Driven Approach to Activity Recognition in Smart Homes
Abstract—This paper introduces a knowledge-driven approach to real-time, continuous activity recognition based on multisensor data streams in smart homes. The approach goes beyon...
Liming Chen, Chris D. Nugent, Hui Wang