348 search results - page 33 / 70 » Learning Determinantal Point Processes |
DAGM
2007
Springer
14 years 1 months ago
2007
Springer
We propose an unsupervised “local learning” algorithm for learning a metric in the input space. Geometrically, for a given query point, the algorithm finds the minimum volume ...
IJCAI
2007
13 years 9 months ago
2007
Dimensionality reduction is a much-studied task in machine learning in which high-dimensional data is mapped, possibly via a non-linear transformation, onto a low-dimensional mani...
ICML
1998
IEEE
14 years 8 months ago
1998
IEEE
This paper introduces a new algorithm, Q2, foroptimizingthe expected output ofamultiinput noisy continuous function. Q2 is designed to need only a few experiments, it avoids stron...
AAAI
2008
13 years 10 months ago
2008
This paper examines, by argument, the dynamics of sequences of behavioural choices made, when non-cooperative restricted-memory agents learn in partially observable stochastic gam...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
A well-built dataset is a necessary starting point for advanced computer vision research. It plays a crucial role in evaluation and provides a continuous challenge to stateof-the-...