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FLAIRS
2009
13 years 3 months ago
Dynamic Programming Approximations for Partially Observable Stochastic Games
Partially observable stochastic games (POSGs) provide a rich mathematical framework for planning under uncertainty by a group of agents. However, this modeling advantage comes wit...
Akshat Kumar, Shlomo Zilberstein
ICDM
2010
IEEE
264views Data Mining» more  ICDM 2010»
13 years 4 months ago
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
Kamalika Das, Ashok N. Srivastava
ISMM
2011
Springer
12 years 9 months ago
Surface Reconstruction Using Power Watershed
Abstract. Surface reconstruction from a set of noisy point measurements has been a well studied problem for several decades. Recently, variational and discrete optimization approac...
Camille Couprie, Xavier Bresson, Laurent Najman, H...
SIGMOD
2009
ACM
269views Database» more  SIGMOD 2009»
14 years 6 months ago
Efficient approximate entity extraction with edit distance constraints
Named entity recognition aims at extracting named entities from unstructured text. A recent trend of named entity recognition is finding approximate matches in the text with respe...
Wei Wang 0011, Chuan Xiao, Xuemin Lin, Chengqi Zha...
SIGMOD
2009
ACM
177views Database» more  SIGMOD 2009»
14 years 6 months ago
Exploiting context analysis for combining multiple entity resolution systems
Entity Resolution (ER) is an important real world problem that has attracted significant research interest over the past few years. It deals with determining which object descript...
Zhaoqi Chen, Dmitri V. Kalashnikov, Sharad Mehrotr...