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» A theory of learning from different domains
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JMLR
2012
13 years 1 months ago
Domain Adaptation: A Small Sample Statistical Approach
We study the prevalent problem when a test distribution differs from the training distribution. We consider a setting where our training set consists of a small number of sample d...
Ruslan Salakhutdinov, Sham M. Kakade, Dean P. Fost...
AAAI
1993
15 years 22 days ago
Finding Accurate Frontiers: A Knowledge-Intensive Approach to Relational Learning
learning (EBL) component. In this paper we provide a brief review of FOIL and FOCL, then discuss how operationalizing a domain theory can adversely affect the accuracy of a learned...
Michael J. Pazzani, Clifford Brunk
DIS
2006
Springer
15 years 3 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
ICML
2006
IEEE
16 years 6 days ago
Relational temporal difference learning
We introduce relational temporal difference learning as an effective approach to solving multi-agent Markov decision problems with large state spaces. Our algorithm uses temporal ...
Nima Asgharbeygi, David J. Stracuzzi, Pat Langley
CIG
2005
IEEE
15 years 5 months ago
Similarity-based Opponent Modelling using Imperfect Domain Theories
Abstract- This paper proposes a similarity-based approach for opponent modelling in multi-agent games. The classification accuracy is increased by adding derived attributes from i...
Timo Steffens