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IFIP12
2007
15 years 5 months ago
Clustering Improves the Exploration of Graph Mining Results
Mining frequent subgraphs is an area of research where we have a given set of graphs, and where we search for (connected) subgraphs contained in many of these graphs. Each graph ca...
Edgar H. de Graaf, Joost N. Kok, Walter A. Kosters
SIGMOD
2009
ACM
269views Database» more  SIGMOD 2009»
16 years 4 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...
TOG
2012
199views Communications» more  TOG 2012»
13 years 6 months ago
Tracking surfaces with evolving topology
We present a method for recovering a temporally coherent, deforming triangle mesh with arbitrarily changing topology from an incoherent sequence of static closed surfaces. We solv...
Morten Bojsen-Hansen, Hao Li, Chris Wojtan
ATAL
2008
Springer
15 years 5 months ago
A heads-up no-limit Texas Hold'em poker player: discretized betting models and automatically generated equilibrium-finding progr
We present Tartanian, a game theory-based player for headsup no-limit Texas Hold'em poker. Tartanian is built from three components. First, to deal with the virtually infinit...
Andrew Gilpin, Tuomas Sandholm, Troels Bjerre S&os...
NECO
2010
103views more  NECO 2010»
15 years 2 months ago
Posterior Weighted Reinforcement Learning with State Uncertainty
Reinforcement learning models generally assume that a stimulus is presented that allows a learner to unambiguously identify the state of nature, and the reward received is drawn f...
Tobias Larsen, David S. Leslie, Edmund J. Collins,...