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ICML
2007
IEEE
16 years 5 months ago
Conditional random fields for multi-agent reinforcement learning
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...
ECCV
2010
Springer
15 years 6 months ago
Image Segmentation with Topic Random Field
Abstract. Recently, there has been increasing interests in applying aspect models (e.g., PLSA and LDA) in image segmentation. However, these models ignore spatial relationships amo...
KDD
2008
ACM
147views Data Mining» more  KDD 2008»
16 years 4 months ago
Extracting shared subspace for multi-label classification
Multi-label problems arise in various domains such as multitopic document categorization and protein function prediction. One natural way to deal with such problems is to construc...
Shuiwang Ji, Lei Tang, Shipeng Yu, Jieping Ye
CORR
2010
Springer
122views Education» more  CORR 2010»
15 years 4 months ago
How to meet asynchronously (almost) everywhere
Two mobile agents (robots) with distinct labels have to meet in an arbitrary, possibly infinite, unknown connected graph or in an unknown connected terrain in the plane. Agents ar...
Jurek Czyzowicz, Arnaud Labourel, Andrzej Pelc
SDM
2008
SIAM
125views Data Mining» more  SDM 2008»
15 years 6 months ago
Mining and Ranking Generators of Sequential Patterns
Sequential pattern mining first proposed by Agrawal and Srikant has received intensive research due to its wide range applicability in many real-life domains. Various improvements...
David Lo, Siau-Cheng Khoo, Jinyan Li