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» Learning Decision Lists Using Homogeneous Rules
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ACL
1998
13 years 9 months ago
Experiments with Learning Parsing Heuristics
Any large language processing software relies in its operation on heuristic decisions concerning the strategy of processing. These decisions are usually "hard-wired" int...
Sylvain Delisle, Sylvain Létourneau, Stan M...
FUIN
2002
132views more  FUIN 2002»
13 years 7 months ago
RIONA: A New Classification System Combining Rule Induction and Instance-Based Learning
The article describes a method combining two widely-used empirical approaches to learning from examples: rule induction and instance-based learning. In our algorithm (RIONA) decisi...
Grzegorz Góra, Arkadiusz Wojna
RSCTC
2000
Springer
140views Fuzzy Logic» more  RSCTC 2000»
13 years 11 months ago
Temporal Templates and Analysis of Time Related Data
In the paper we investigate the problem of analysis of time related information systems. We introduce notion of temporal templates, i.e. homogeneous patterns occurring in some peri...
Piotr Synak
SDM
2010
SIAM
184views Data Mining» more  SDM 2010»
13 years 9 months ago
A Robust Decision Tree Algorithm for Imbalanced Data Sets
We propose a new decision tree algorithm, Class Confidence Proportion Decision Tree (CCPDT), which is robust and insensitive to class distribution and generates rules which are st...
Wei Liu, Sanjay Chawla, David A. Cieslak, Nitesh V...
NAACL
2001
13 years 9 months ago
Re-Engineering Letter-to-Sound Rules
Using finite-state automata for the text analysis component in a text-to-speech system is problematic in several respects: the rewrite rules from which the automata are compiled a...
Martin Jansche