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JMLR
2008
144views more  JMLR 2008»
15 years 6 months ago
Search for Additive Nonlinear Time Series Causal Models
Pointwise consistent, feasible procedures for estimating contemporaneous linear causal structure from time series data have been developed using multiple conditional independence ...
Tianjiao Chu, Clark Glymour
PAMI
2008
179views more  PAMI 2008»
15 years 6 months ago
Modeling, Clustering, and Segmenting Video with Mixtures of Dynamic Textures
A dynamic texture is a spatio-temporal generative model for video, which represents video sequences as observations from a linear dynamical system. This work introduces the mixtur...
Antoni B. Chan, Nuno Vasconcelos
SAC
2002
ACM
15 years 6 months ago
A comprehensive model for arbitrary result extraction
Within the realms of workflow management and grid computing, scheduling of distributed services is a central issue. Most schedulers balance time and cost to fit within a client�...
Neal Sample, Dorothea Beringer, Gio Wiederhold
NN
2007
Springer
15 years 5 months ago
A neural model of decision-making by the superior colicullus in an antisaccade task
In the antisaccade paradigm subjects are instructed to perform eye movements in the opposite direction from the location of a visually appearing stimulus while they are fixating ...
Vassilis Cutsuridis, Nikolaos Smyrnis, Ioannis Evd...
ICRA
2010
IEEE
133views Robotics» more  ICRA 2010»
15 years 4 months ago
Generalized model learning for Reinforcement Learning on a humanoid robot
— Reinforcement learning (RL) algorithms have long been promising methods for enabling an autonomous robot to improve its behavior on sequential decision-making tasks. The obviou...
Todd Hester, Michael Quinlan, Peter Stone