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FSMNLP
2005
Springer
14 years 1 months ago
Algorithms for Minimum Risk Chunking
Abstract. Stochastic finite automata are useful for identifying substrings (chunks) within larger units of text. Relevant applications include tokenization, base-NP chunking, name...
Martin Jansche
ACL2
2006
ACM
14 years 1 months ago
Unique factorization in ACL2: Euclidean domains
ACL2 is used to systematically study domains whose elements can be “uniquely” factored into products of “irreducible” elements. The best known examples of such domains are...
John R. Cowles, Ruben Gamboa
EOR
2008
74views more  EOR 2008»
13 years 7 months ago
From decision theory to decision aiding methodology
The paper presents the author's partial and personal historical reconstruction of how decision theory is evolving to a decision aiding methodology. The presentation shows mai...
Alexis Tsoukiàs
SAGA
2001
Springer
14 years 1 days ago
Stochastic Finite Learning
Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to potential ap...
Thomas Zeugmann
LPAR
2000
Springer
13 years 11 months ago
Efficient Structural Information Analysis for Real CLP Languages
We present the rational construction of a generic domain for structural information analysis of real CLP languages called Pattern(D ), where the parameter D is an abstract domain s...
Roberto Bagnara, Patricia M. Hill, Enea Zaffanella