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» A Framework for Dynamizing Succinct Data Structures
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KDD
2008
ACM
183views Data Mining» more  KDD 2008»
15 years 10 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
CORR
2010
Springer
183views Education» more  CORR 2010»
14 years 8 months ago
Discovering shared and individual latent structure in multiple time series
This paper proposes a nonparametric Bayesian method for exploratory data analysis and feature construction in continuous time series. Our method focuses on understanding shared fe...
Suchi Saria, Daphne Koller, Anna Penn
DEXA
1998
Springer
152views Database» more  DEXA 1998»
15 years 1 months ago
Facilitating Virtual Representation of CAD Data Through A Learning Based Approach to Conceptual Database Evolution Employing Dir
This paper presents a framework for a learning based approach to dynamically evolve the conceptual structure of a database in order to facilitate virtual representation of data in ...
Awais Rashid, Peter Sawyer
CVPR
1999
IEEE
15 years 11 months ago
Time-Series Classification Using Mixed-State Dynamic Bayesian Networks
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...
PPSC
1997
14 years 10 months ago
The Dynamic Adaptation of Parallel Mesh-Based Computation
We present an overview of algorithms and data structures for dynamic re nement coarsening adaptation of unstructured FE meshes on loosely coupled parallel processors. We describ...
José G. Castaños, John E. Savage