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COLT
1994
Springer
15 years 5 months ago
Bayesian Inductive Logic Programming
Inductive Logic Programming (ILP) involves the construction of first-order definite clause theories from examples and background knowledge. Unlike both traditional Machine Learnin...
Stephen Muggleton
FOCS
2006
IEEE
15 years 6 months ago
New Results for Learning Noisy Parities and Halfspaces
We address well-studied problems concerning the learnability of parities and halfspaces in the presence of classification noise. Learning of parities under the uniform distributi...
Vitaly Feldman, Parikshit Gopalan, Subhash Khot, A...
84
Voted
ICPR
2004
IEEE
16 years 1 months ago
Neural Network-Based Proper Names Extraction in Fax Images
In this paper, we are interested in the sender's name extraction in fax cover pages through a machine learning scheme. For this purpose, two analysis methods are implemented ...
Laurence Likforman-Sulem, Noura Azzabou
124
Voted
CICLING
2009
Springer
15 years 7 months ago
The Value of Weights in Automatically Generated Text Structures
Abstract. One question that arises if we want to evolve generation techniques to accommodate Web ontologies is how to capture and expose the relevant ontology content to the user. ...
Dana Dannélls
109
Voted
KES
2004
Springer
15 years 6 months ago
Representing Knowledge in Controlled Natural Language: A Case Study
In this case study I argue for the usage of a machine-oriented controlled natural language as interface language to knowledge systems. Instead of using formal languages that are di...
Rolf Schwitter