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» Requirements for Machine Lifelong Learning
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107
Voted
ICML
2008
IEEE
16 years 1 months ago
Multi-task compressive sensing with Dirichlet process priors
Compressive sensing (CS) is an emerging field that, under appropriate conditions, can significantly reduce the number of measurements required for a given signal. In many applicat...
Yuting Qi, Dehong Liu, David B. Dunson, Lawrence C...
ICML
2008
IEEE
16 years 1 months ago
The projectron: a bounded kernel-based Perceptron
We present a discriminative online algorithm with a bounded memory growth, which is based on the kernel-based Perceptron. Generally, the required memory of the kernelbased Percept...
Francesco Orabona, Joseph Keshet, Barbara Caputo
ICML
2006
IEEE
16 years 1 months ago
Fast direct policy evaluation using multiscale analysis of Markov diffusion processes
Policy evaluation is a critical step in the approximate solution of large Markov decision processes (MDPs), typically requiring O(|S|3 ) to directly solve the Bellman system of |S...
Mauro Maggioni, Sridhar Mahadevan
ICML
2006
IEEE
16 years 1 months ago
Efficient inference on sequence segmentation models
Sequence segmentation is a flexible and highly accurate mechanism for modeling several applications. Inference on segmentation models involves dynamic programming computations tha...
Sunita Sarawagi
106
Voted
ICML
2004
IEEE
16 years 1 months ago
Boosting grammatical inference with confidence oracles
In this paper we focus on the adaptation of boosting to grammatical inference. We aim at improving the performances of state merging algorithms in the presence of noisy data by us...
Jean-Christophe Janodet, Richard Nock, Marc Sebban...