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» A Note on Learning from Multiple-Instance Examples
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CIG
2005
IEEE
13 years 11 months ago
Coevolution in Hierarchical AI for Strategy Games
Real-Time Strategy games present an interesting problem domain for Artificial Intelligence research. We review current approaches to developing AI systems for such games, noting th...
Daniel Livingstone
ICDM
2009
IEEE
112views Data Mining» more  ICDM 2009»
14 years 12 days ago
Spatio-temporal Multi-dimensional Relational Framework Trees
—The real world is composed of sets of objects that move and morph in both space and time. Useful concepts can be defined in terms of the complex interactions between the multi-...
Matthew Bodenhamer, Samuel Bleckley, Daniel Fennel...
IJCAI
2007
13 years 7 months ago
Transfer Learning in Real-Time Strategy Games Using Hybrid CBR/RL
The goal of transfer learning is to use the knowledge acquired in a set of source tasks to improve performance in a related but previously unseen target task. In this paper, we pr...
Manu Sharma, Michael P. Holmes, Juan Carlos Santam...
ACMMPC
2000
Springer
238views Mathematics» more  ACMMPC 2000»
13 years 10 months ago
Ordered Sets and Complete Lattices
Abstract. These notes deal with an interconnecting web of mathematical techniques all of which deserve a place in the armoury of the welleducated computer scientist. The objective ...
Hilary A. Priestley
TCS
2011
13 years 21 days ago
Smart PAC-learners
The PAC-learning model is distribution-independent in the sense that the learner must reach a learning goal with a limited number of labeled random examples without any prior know...
Malte Darnstädt, Hans-Ulrich Simon