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ICMLA
2003
15 years 1 months ago
Reinforcement Learning Task Clustering
This work represents the first step towards a task library system in the reinforcement learning domain. Task libraries could be useful in speeding up the learning of new tasks th...
James L. Carroll, Todd S. Peterson, Kevin D. Seppi
DS
1997
117views Database» more  DS 1997»
15 years 1 months ago
Experience with a Combined Approach to Attribute-Matching Across Heterogeneous Databases
Determining attribute correspondences is a difficult, time-consuming, knowledge-intensive part of database integration. We report on experiences with tools that identified candi...
Chris Clifton, E. Housman, Arnon Rosenthal
COLING
2010
14 years 6 months ago
Build Chinese Emotion Lexicons Using A Graph-based Algorithm and Multiple Resources
For sentiment analysis, lexicons play an important role in many related tasks. In this paper, aiming to build Chinese emotion lexicons for public use, we adopted a graph-based alg...
Ge Xu, Xinfan Meng, Houfeng Wang
CVPR
2010
IEEE
15 years 4 months ago
Learning Weights for Codebook in Image Classification
This paper presents a codebook learning approach for image classification and retrieval. It corresponds to learning a weighted similarity metric to satisfy that the weighted simil...
Hongping Cai, Krystian Mikolajczyk, Fei Yan
BIBE
2010
IEEE
148views Bioinformatics» more  BIBE 2010»
14 years 6 months ago
Prediction of Gene Ontology Annotations Based on Gene Functional Clustering
We propose an algorithm that predicts potentially missing Gene Ontology annotations, in order to speed up the time-consuming annotation curation process. The proposed method extend...
Marco Tagliasacchi, Roberto Sarati, Marco Masserol...