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ESOP
2011
Springer
14 years 9 months ago
Measure Transformer Semantics for Bayesian Machine Learning
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Johannes Borgström, Andrew D. Gordon, Michael...
TDM
2004
128views Database» more  TDM 2004»
15 years 7 months ago
Processing Content-And-Structure Queries for XML Retrieval
Document-centric XML collections contain text-rich documents, marked up with XML tags. The tags add lightweight semantics to the text. Querying such collections calls for a hybrid...
Börkur Sigurbjörnsson, Jaap Kamps, Maart...
AI
2002
Springer
15 years 6 months ago
A Constructive Approach to Parsing with Neural Networks - The Hybrid Connectionist Parsing Method
The concept of Dynamic Neural Networks (DNN) is a new approach within the Neural Network paradigm, which is based on the dynamic construction of Neural Networks during the processi...
Christel Kemke
IJIT
2004
15 years 7 months ago
A Hybrid Model for Part-of-Speech Tagging and its Application to Bengali
This paper describes our work on Bengali Part of Speech (POS) tagging using a corpus-based approach. There are several approaches for part of speech tagging. This paper deals with ...
Sandipan Dandapat, Sudeshna Sarkar, Anupam Basu
WOLLIC
2010
Springer
15 years 11 months ago
Modal Logics with Counting
Abstract. We present a modal language that includes explicit operators to count the number of elements that a model might include in the extension of a formula, and we discuss how ...
Carlos Areces, Guillaume Hoffmann, Alexandre Denis