ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
We consider the task of learning to accurately follow a trajectory in a vehicle such as a car or helicopter. A number of dynamic programming algorithms such as Differential Dynami...
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
We consider the least-square linear regression problem with regularization by the 1-norm, a problem usually referred to as the Lasso. In this paper, we present a detailed asymptot...
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
In dimensionality reduction approaches, the data are typically embedded in a Euclidean latent space. However for some data sets this is inappropriate. For example, in human motion...
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
act Framework For Structure Design Michael Schnall-Levin Massachusetts Institute of Technology Joint work with: Leonid Chindelevitch and Bonnie Berger
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
We consider the problem of learning to follow a desired trajectory when given a small number of demonstrations from a sub-optimal expert. We present an algorithm that (i) extracts...
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
Similarity matrices generated from many applications may not be positive semidefinite, and hence can't fit into the kernel machine framework. In this paper, we study the prob...