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PKDD
2010
Springer
164views Data Mining» more  PKDD 2010»
13 years 6 months ago
Complexity Bounds for Batch Active Learning in Classification
Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...
Philippe Rolet, Olivier Teytaud
CORR
2011
Springer
176views Education» more  CORR 2011»
13 years 3 months ago
Matched Filtering from Limited Frequency Samples
In this paper, we study a simple correlation-based strategy for estimating the unknown delay and amplitude of a signal based on a small number of noisy, randomly chosen frequency-...
Armin Eftekhari, Justin K. Romberg, Michael B. Wak...
CORR
2010
Springer
152views Education» more  CORR 2010»
13 years 3 months ago
Combinatorial Network Optimization with Unknown Variables: Multi-Armed Bandits with Linear Rewards
In the classic multi-armed bandits problem, the goal is to have a policy for dynamically operating arms that each yield stochastic rewards with unknown means. The key metric of int...
Yi Gai, Bhaskar Krishnamachari, Rahul Jain
WG
1998
Springer
14 years 1 months ago
Integral Uniform Flows in Symmetric Networks
We study the integral uniform (multicommodity) flow problem in a graph G and construct a fractional solution whose properties are invariant under the action of a group of automorp...
Farhad Shahrokhi, László A. Sz&eacut...
ICDAR
2003
IEEE
14 years 2 months ago
Integration of Contextual Information in Handwriting Recognition Systems
This paper investigates different strategies allowing integration of contextual information during the feature extraction stage of a cursive handwriting HMM-based recognition syst...
F. Grandidier, Robert Sabourin, Ching Y. Suen