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TRS
2008
15 years 6 months ago
A Model of User-Oriented Reduct Construction for Machine Learning
An implicit assumption of many machine learning algorithms is that all attributes are of the same importance. An algorithm typically selects attributes based solely on their statis...
Yiyu Yao, Yan Zhao, Jue Wang, Suqing Han
TSP
2008
99views more  TSP 2008»
15 years 6 months ago
An ABORT-Like Detector With Improved Mismatched Signals Rejection Capabilities
Abstract--In this paper we present a GLRT-based adaptive detection algorithm for extended targets with improved rejection capabilities of mismatched signals. We assume that a set o...
Francesco Bandiera, Olivier Besson, Giuseppe Ricci
193
Voted
AIR
2004
131views more  AIR 2004»
15 years 6 months ago
A Survey of Outlier Detection Methodologies
Abstract. Outlier detection has been used for centuries to detect and, where appropriate, remove anomalous observations from data. Outliers arise due to mechanical faults, changes ...
Victoria J. Hodge, Jim Austin
COGSCI
2002
99views more  COGSCI 2002»
15 years 6 months ago
Learning words from sights and sounds: a computational model
This paper presents an implemented computational model of word acquisition which learns directly from raw multimodal sensory input. Set in an information theoretic framework, the ...
Deb Roy, Alex Pentland
119
Voted
COLING
2002
15 years 6 months ago
Recovering Latent Information in Treebanks
Many recent statistical parsers rely on a preprocessing step which uses hand-written, corpus-specific rules to augment the training data with extra information. For example, head-...
David Chiang, Daniel M. Bikel