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» Learning Distance Functions using Equivalence Relations
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ICML
2006
IEEE
15 years 10 months ago
Autonomous shaping: knowledge transfer in reinforcement learning
We introduce the use of learned shaping rewards in reinforcement learning tasks, where an agent uses prior experience on a sequence of tasks to learn a portable predictor that est...
George Konidaris, Andrew G. Barto
NIPS
2007
14 years 11 months ago
Subspace-Based Face Recognition in Analog VLSI
We describe an analog-VLSI neural network for face recognition based on subspace methods. The system uses a dimensionality-reduction network whose coefficients can be either progr...
Gonzalo Carvajal, Waldo Valenzuela, Miguel Figuero...
APPROX
2007
Springer
153views Algorithms» more  APPROX 2007»
15 years 3 months ago
Distribution-Free Testing Lower Bounds for Basic Boolean Functions
: In the distribution-free property testing model, the distance between functions is measured with respect to an arbitrary and unknown probability distribution D over the input dom...
Dana Glasner, Rocco A. Servedio
NIPS
2004
14 years 11 months ago
Object Classification from a Single Example Utilizing Class Relevance Metrics
We describe a framework for learning an object classifier from a single example. This goal is achieved by emphasizing the relevant dimensions for classification using available ex...
Michael Fink 0002
ALT
1995
Springer
15 years 1 months ago
Learning Unions of Tree Patterns Using Queries
This paper characterizes the polynomial time learnability of TPk, the class of collections of at most k rst-order terms. A collection in TPk de nes the union of the languages de n...
Hiroki Arimura, Hiroki Ishizaka, Takeshi Shinohara