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JMLR
2012
11 years 7 months ago
Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection
We present a unifying framework for information theoretic feature selection, bringing almost two decades of research on heuristic filter criteria under a single theoretical inter...
Gavin Brown, Adam Pocock, Ming-Jie Zhao, Mikel Luj...
ICCD
2005
IEEE
135views Hardware» more  ICCD 2005»
14 years 2 months ago
Extended Forward Implications and Dual Recurrence Relations to Identify Sequentially Untestable Faults
In this paper, we make two major contributions: First, to enhance Boolean learning, we propose a new class of logic implications called extended forward implications. Using a nove...
Manan Syal, Rajat Arora, Michael S. Hsiao
ACL
2008
13 years 6 months ago
Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition
We present a novel hierarchical prior structure for supervised transfer learning in named entity recognition, motivated by the common structure of feature spaces for this task acr...
Andrew Arnold, Ramesh Nallapati, William W. Cohen
ICSM
2005
IEEE
13 years 11 months ago
Context-Free Slicing of UML Class Models
In the work presented here, we introduce a method to automatically generate a subset of a UML class model based on a user-defined criterion. The goal of this work is to allow us to...
Huzefa H. Kagdi, Jonathan I. Maletic, Andrew Sutto...
APSEC
1998
IEEE
13 years 9 months ago
Change Impact Analysis for A Class Hierarchy
Modified programs are required to be retested to determine whether changes have been made correctly and to investigate whether those cause any adverse effect on the program behavi...
Yoon Kyu Jang, Heung Seok Chae, Yong Rae Kwon, Doo...