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Highly Cited

2007

Highly Cited

2007

T he s oc io cu lt ur al e nv ir on m en t Co nt ex t Te Kotahitanga is a project that aims to improve outcomes for Màori…

Highly Cited

2005

Highly Cited

2005

Partially observable Markov decision processes (POMDPs) form an attractive and principled framework for agent planning under…

Highly Cited

2004

Highly Cited

2004

The problem of efficient, interactive foreground/background segmentation in still images is of great practical importance in…

Highly Cited

2003

Highly Cited

2003

Preface 1. Background in linear algebra 2. Discretization of partial differential equations 3. Sparse matrices 4. Basic iterative…

Highly Cited

2003

Highly Cited

2003

We propose a new approach to reinforcement learning for control problems which combines value-function approximation with linear…

Highly Cited

2003

Highly Cited

2003

This paper introduces the Point-Based Value Iteration (PBVI) algorithm for POMDP planning. PBVI approximates an exact value…

Highly Cited

1996

Highly Cited

1996

In this paper we propose a new method for the iterative computation of a few of the extremal eigenvalues of a symmetric matrix…

Highly Cited

1993

Highly Cited

1993

This paper attempts to describe some of the results obtained in the iteration theory of transcendental meromorphic functions, not…

Highly Cited

1974

Highly Cited

1974

The following result is shown. If T is a lipschitzian pseudo-contractive map of a compact convex subset E of a Hilbert space into…

Highly Cited

1953

Highly Cited

1953

Due largely to the works of Cesaro, Fejer, and Toeplitz, mean value methods have become famous in the summation of divergent…