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ROCAI
2004
Springer
14 years 2 months ago
An Empirical Evaluation of Supervised Learning for ROC Area
We present an empirical comparison of the AUC performance of seven supervised learning methods: SVMs, neural nets, decision trees, k-nearest neighbor, bagged trees, boosted trees,...
Rich Caruana, Alexandru Niculescu-Mizil
JCB
2006
115views more  JCB 2006»
13 years 8 months ago
Designing an A* Algorithm for Calculating Edit Distance between Rooted-Unordered Trees
Tree structures are useful for describing and analyzing biological objects and processes. Consequently, there is a need to design metrics and algorithms to compare trees. A natura...
Yair Horesh, Ramit Mehr, Ron Unger
ICNP
2006
IEEE
14 years 2 months ago
Chunkyspread: Heterogeneous Unstructured Tree-Based Peer-to-Peer Multicast
— The rising popularity of live IPTV has triggered renewed interest in P2P multicast. In particular, the simple and robust ‘swarming’ style of P2P multicast is currently favo...
Vidhyashankar Venkataraman, Kaouru Yoshida, Paul F...
EACL
2009
ACL Anthology
14 years 9 months ago
N-Gram-Based Statistical Machine Translation versus Syntax Augmented Machine Translation: Comparison and System Combination
In this paper we compare and contrast two approaches to Machine Translation (MT): the CMU-UKA Syntax Augmented Machine Translation system (SAMT) and UPC-TALP N-gram-based Statisti...
José A. R. Fonollosa, Maxim Khalilov
IJBRA
2007
116views more  IJBRA 2007»
13 years 8 months ago
Biomedical ontology improves biomedical literature clustering performance: a comparison study
: Document clustering has been used for better document retrieval and text mining. In this paper, we investigate if a biomedical ontology improves biomedical literature clustering ...
Illhoi Yoo, Xiaohua Hu, Il-Yeol Song