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130
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NIPS
1994
15 years 1 months ago
Convergence Properties of the K-Means Algorithms
This paper studies the convergence properties of the well known K-Means clustering algorithm. The K-Means algorithm can be described either as a gradient descent algorithmor by sl...
Léon Bottou, Yoshua Bengio
107
Voted
NIPS
1994
15 years 1 months ago
Learning to Play the Game of Chess
This paper presents NeuroChess, a program which learns to play chess from the final outcome of games. NeuroChess learns chess board evaluation functions, represented by artificial...
Sebastian Thrun
99
Voted
NIPS
2001
15 years 1 months ago
The Method of Quantum Clustering
We propose a novel clustering method that is an extension of ideas inherent to scale-space clustering and support-vector clustering. Like the latter, it associates every data poin...
David Horn, Assaf Gottlieb
NIPS
2007
15 years 1 months ago
Testing for Homogeneity with Kernel Fisher Discriminant Analysis
We propose to investigate test statistics for testing homogeneity based on kernel Fisher discriminant analysis. Asymptotic null distributions under null hypothesis are derived, an...
Zaïd Harchaoui, Francis Bach, Eric Moulines
79
Voted
NIPS
2007
15 years 1 months ago
CPR for CSPs: A Probabilistic Relaxation of Constraint Propagation
This paper proposes constraint propagation relaxation (CPR), a probabilistic approach to classical constraint propagation that provides another view on the whole parametric family...
Luis E. Ortiz