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» Termination Analysis with Algorithmic Learning
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CVPR
2010
IEEE
15 years 12 months ago
Clustering Dynamic Textures with the Hierarchical EM Algorithm
The dynamic texture (DT) is a probabilistic generative model, defined over space and time, that represents a video as the output of a linear dynamical system (LDS). The DT model ...
Antoni Chan, Emanuele Coviello, Gert Lanckriet
141
Voted
GECCO
2008
Springer
229views Optimization» more  GECCO 2008»
15 years 4 months ago
EIN-WUM: an AIS-based algorithm for web usage mining
With the ever expanding Web and the information published on it, effective tools for managing such data and presenting information to users based on their needs are becoming nece...
Adel Torkaman Rahmani, B. Hoda Helmi
113
Voted
ICML
2010
IEEE
15 years 4 months ago
Efficient Learning with Partially Observed Attributes
We describe and analyze efficient algorithms for learning a linear predictor from examples when the learner can only view a few attributes of each training example. This is the ca...
Nicolò Cesa-Bianchi, Shai Shalev-Shwartz, O...
143
Voted
IJCSA
2007
104views more  IJCSA 2007»
15 years 3 months ago
Solving the Satisfiability Problem Using Finite Learning Automata
A large number of problems that occur in knowledge-representation, learning, VLSI-design, and other areas of artificial intelligence, are essentially satisfiability problems. The ...
Ole-Christoffer Granmo, Noureddine Bouhmala
ML
2002
ACM
168views Machine Learning» more  ML 2002»
15 years 3 months ago
On Average Versus Discounted Reward Temporal-Difference Learning
We provide an analytical comparison between discounted and average reward temporal-difference (TD) learning with linearly parameterized approximations. We first consider the asympt...
John N. Tsitsiklis, Benjamin Van Roy