# Toy problem

## Papers overview

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2017

2017

- 2017

We give here a comparison of the expected outcome theory, the expected utility theory, and the Bayesian decision theory, by wayâ€¦Â (More)

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2010

2010

- International Conference on Electromagnetics inâ€¦
- 2010

In Green's function diakoptics, wave-field interactions between disjoint domains in space are described in terms of interactingâ€¦Â (More)

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2009

Highly Cited

2009

- IEEE Transactions on Multimedia
- 2009

In the past few years, video annotation has benefited a lot from the progress of machine learning techniques. Recently, graphâ€¦Â (More)

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2009

Highly Cited

2009

- J. Artif. Intell. Res.
- 2009

This paper introduces a principled approach for the design of a scalable general reinforcement learning agent. Our approach isâ€¦Â (More)

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2006

2006

- 2006

You get to toss coins, each of which is either of type H, having probabilities favouring heads {(1âˆ’f), f} or of type T, withâ€¦Â (More)

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2005

Highly Cited

2005

- IEEE Computer Society Conference on Computerâ€¦
- 2005

In the last decades, a large family of algorithms - supervised or unsupervised; stemming from statistic or geometry theory - haveâ€¦Â (More)

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2001

Highly Cited

2001

- NIPS
- 2001

This report presents a SVM like learning system to handle multi-label problems. Such problems arise naturally in bio-informaticsâ€¦Â (More)

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1998

Highly Cited

1998

- Neural Computation
- 1998

Latent variable models represent the probability density of data in a space of several dimensions in terms of a smaller number ofâ€¦Â (More)

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1997

1997

- 1997

combinatorial optimization is an active field of research in Neural Networks. Since the first attempts to solve the travellingâ€¦Â (More)

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1990

Highly Cited

1990

- AAAI
- 1990

Conventional blind search techniques generally assume that the goal nodes for a given problem are distributed randomly along theâ€¦Â (More)

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