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» CP Models for Maximum Common Subgraph Problems
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IBPRIA
2009
Springer
15 years 2 months ago
Inference and Learning for Active Sensing, Experimental Design and Control
In this paper we argue that maximum expected utility is a suitable framework for modeling a broad range of decision problems arising in pattern recognition and related fields. Exa...
Hendrik Kück, Matthew Hoffman, Arnaud Doucet,...
CORR
2010
Springer
112views Education» more  CORR 2010»
14 years 9 months ago
On Finding Frequent Patterns in Event Sequences
Given a directed acyclic graph with labeled vertices, we consider the problem of finding the most common label sequences ("traces") among all paths in the graph (of some...
Andrea Campagna, Rasmus Pagh
GRAMMARS
2002
119views more  GRAMMARS 2002»
14 years 9 months ago
Computational Complexity of Probabilistic Disambiguation
Recent models of natural language processing employ statistical reasoning for dealing with the ambiguity of formal grammars. In this approach, statistics, concerning the various li...
Khalil Sima'an
KDD
2005
ACM
149views Data Mining» more  KDD 2005»
15 years 2 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
VLDB
1998
ACM
138views Database» more  VLDB 1998»
15 years 1 months ago
TOPAZ: a Cost-Based, Rule-Driven, Multi-Phase Parallelizer
Currently the key problems of query optimization are extensibility imposed by object-relational technology, as well as query complexity caused by forthcoming applications, such as...
Clara Nippl, Bernhard Mitschang