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129
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ACL
2007
15 years 5 months ago
Grammar Approximation by Representative Sublanguage: A New Model for Language Learning
We propose a new language learning model that learns a syntactic-semantic grammar from a small number of natural language strings annotated with their semantics, along with basic ...
Smaranda Muresan, Owen Rambow
PREMI
2005
Springer
15 years 9 months ago
Geometric Decision Rules for Instance-Based Learning Problems
In the typical nonparametric approach to classification in instance-based learning and data mining, random data (the training set of patterns) are collected and used to design a d...
Binay K. Bhattacharya, Kaustav Mukherjee, Godfried...
137
Voted
ECML
2007
Springer
15 years 10 months ago
Structure Learning of Probabilistic Relational Models from Incomplete Relational Data
Abstract. Existing relational learning approaches usually work on complete relational data, but real-world data are often incomplete. This paper proposes the MGDA approach to learn...
Xiao-Lin Li, Zhi-Hua Zhou
ICCBR
2001
Springer
15 years 8 months ago
A Case-Based Reasoning View of Automated Collaborative Filtering
From some perspectives Automated Collaborative Filtering (ACF) appears quite similar to Case-Based Reasoning (CBR). It works on data organised around users and assets that might be...
Conor Hayes, Padraig Cunningham, Barry Smyth
HUMAN
2003
Springer
15 years 9 months ago
Dynamic Deployment of Software Defined Radio Components for Mobile Wireless Internet Applications
Abstract. Software Defined Radio (SDR) is a key enabling technology for mobile wireless Internet. SDR represents unique opportunity to provide Internet connectivity to handheld dev...
Saehwa Kim, Jamison Masse, Seongsoo Hong