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COLT
1994
Springer
15 years 3 months ago
Learning Probabilistic Automata with Variable Memory Length
We propose and analyze a distribution learning algorithm for variable memory length Markov processes. These processes can be described by a subclass of probabilistic nite automata...
Dana Ron, Yoram Singer, Naftali Tishby
IJCAI
2007
15 years 17 days 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...
WWW
2006
ACM
15 years 11 months ago
The SOWES approach to P2P web search using semantic overlays
Peer-to-peer (P2P) Web search has gained a lot of interest lately, due to the salient characteristics of P2P systems, namely scalability, fault-tolerance and load-balancing. Howev...
Christos Doulkeridis, Kjetil Nørvåg, ...
MM
2003
ACM
132views Multimedia» more  MM 2003»
15 years 4 months ago
On image auto-annotation with latent space models
Image auto-annotation, i.e., the association of words to whole images, has attracted considerable attention. In particular, unsupervised, probabilistic latent variable models of t...
Florent Monay, Daniel Gatica-Perez
FOCS
2008
IEEE
15 years 5 months ago
What Can We Learn Privately?
Learning problems form an important category of computational tasks that generalizes many of the computations researchers apply to large real-life data sets. We ask: what concept ...
Shiva Prasad Kasiviswanathan, Homin K. Lee, Kobbi ...