Sciweavers

202 search results - page 4 / 41
» Privacy-preservation for gradient descent methods
Sort
View
NIPS
1990
13 years 6 months ago
Planning with an Adaptive World Model
We present a new connectionist planning method TML90 . By interaction with an unknown environment, a world model is progressively constructed using gradient descent. For deriving ...
Sebastian Thrun, Knut Möller, Alexander Linde...
SIAMJO
2000
67views more  SIAMJO 2000»
13 years 4 months ago
Gradient Convergence in Gradient methods with Errors
We consider the gradient method xt+1 = xt + t(st + wt), where st is a descent direction of a function f : n and wt is a deterministic or stochastic error. We assume that f is Lip...
Dimitri P. Bertsekas, John N. Tsitsiklis
IPMI
2005
Springer
14 years 5 months ago
3D Active Shape Models Using Gradient Descent Optimization of Description Length
Abstract. Active Shape Models are a popular method for segmenting three-dimensional medical images. To obtain the required landmark correspondences, various automatic approaches ha...
Tobias Heimann, Ivo Wolf, Tomos G. Williams, Hans-...
ICIP
2010
IEEE
13 years 2 months ago
Stochastic gradient descent for robust inverse photomask synthesis in optical lithography
Optical lithography is a critical step in the semiconductor manufacturing process, and one key problem is the design of the photomask for a particular circuit pattern, given the o...
Ningning Jia, Edmund Y. Lam
JMLR
2012
11 years 7 months ago
Krylov Subspace Descent for Deep Learning
In this paper, we propose a second order optimization method to learn models where both the dimensionality of the parameter space and the number of training samples is high. In ou...
Oriol Vinyals, Daniel Povey