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» Modelling Digital Circuits Problems with Set Constraints
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PODS
2009
ACM
119views Database» more  PODS 2009»
15 years 10 months ago
Exceeding expectations and clustering uncertain data
Database technology is playing an increasingly important role in understanding and solving large-scale and complex scientific and societal problems and phenomena, for instance, un...
Sudipto Guha, Kamesh Munagala
TSP
2008
167views more  TSP 2008»
14 years 8 months ago
Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
Kai Ni, John William Paisley, Lawrence Carin, Davi...
KDD
2005
ACM
149views Data Mining» more  KDD 2005»
15 years 3 months ago
A distributed learning framework for heterogeneous data sources
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Srujana Merugu, Joydeep Ghosh
73
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ESA
2009
Springer
149views Algorithms» more  ESA 2009»
15 years 4 months ago
Sparse Cut Projections in Graph Streams
Finding sparse cuts is an important tool for analyzing large graphs that arise in practice, such as the web graph, online social communities, and VLSI circuits. When dealing with s...
Atish Das Sarma, Sreenivas Gollapudi, Rina Panigra...
PCI
2005
Springer
15 years 3 months ago
Towards In-Situ Data Storage in Sensor Databases
Abstract. The advances in wireless communications along with the exponential growth of transistors per integrated circuit lead to a rapid evolution of Wireless Sensor Devices (WSDs...
Demetrios Zeinalipour-Yazti, Vana Kalogeraki, Dimi...