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» Learning Gaussian processes from multiple tasks
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149
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KDD
2008
ACM
183views Data Mining» more  KDD 2008»
16 years 3 months ago
Knowledge transfer via multiple model local structure mapping
The effectiveness of knowledge transfer using classification algorithms depends on the difference between the distribution that generates the training examples and the one from wh...
Jing Gao, Wei Fan, Jing Jiang, Jiawei Han
NIPS
2008
15 years 4 months ago
Stochastic Relational Models for Large-scale Dyadic Data using MCMC
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
Shenghuo Zhu, Kai Yu, Yihong Gong
AAAI
2008
15 years 5 months ago
Perpetual Learning for Non-Cooperative Multiple Agents
This paper examines, by argument, the dynamics of sequences of behavioural choices made, when non-cooperative restricted-memory agents learn in partially observable stochastic gam...
Luke Dickens
131
Voted
DIS
2006
Springer
15 years 7 months ago
Prediction of Domain-Domain Interactions Using Inductive Logic Programming from Multiple Genome Databases
Protein domains are the building blocks of proteins, and their interactions are crucial in forming stable protein-protein interactions (PPI) and take part in many cellular processe...
Thanh Phuong Nguyen, Tu Bao Ho
GIR
2006
ACM
15 years 9 months ago
Inferring Geographical Ontologies from Multiple Resources for Geographical Information Retrieval
Many documents that can be found in the World Wide Web include some kind of geographical information, often in an implicit way. The use of resources like gazetteers and geographic...
Davide Buscaldi, Paolo Rosso, Piedachu Peris