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NIPS
1990
15 years 18 days 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»
14 years 11 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
16 years 8 days 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
14 years 9 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
13 years 1 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