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ICDM
2003
IEEE
136views Data Mining» more  ICDM 2003»
15 years 8 months ago
Statistical Relational Learning for Document Mining
A major obstacle to fully integrated deployment of many data mining algorithms is the assumption that data sits in a single table, even though most real-world databases have compl...
Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence...
EMNLP
2010
15 years 23 days ago
Collective Cross-Document Relation Extraction Without Labelled Data
We present a novel approach to relation extraction that integrates information across documents, performs global inference and requires no labelled text. In particular, we tackle ...
Limin Yao, Sebastian Riedel, Andrew McCallum
160
Voted
IPCV
2010
15 years 1 months ago
Fuzzy Spatial Relations for 2D Scene
Abstract-- Different models for computing the spatial relations have been developed in the last decade. Separate methods are used for computing topological, directional and distanc...
Nadeem Salamat, El-hadi Zahzah
130
Voted
ILP
2007
Springer
15 years 9 months ago
Bias/Variance Analysis for Relational Domains
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Jennifer Neville, David Jensen
136
Voted
JCP
2008
139views more  JCP 2008»
15 years 3 months ago
Agent Learning in Relational Domains based on Logical MDPs with Negation
In this paper, we propose a model named Logical Markov Decision Processes with Negation for Relational Reinforcement Learning for applying Reinforcement Learning algorithms on the ...
Song Zhiwei, Chen Xiaoping, Cong Shuang