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JMLR
2010
165views more  JMLR 2010»
14 years 4 months ago
Learning with Blocks: Composite Likelihood and Contrastive Divergence
Composite likelihood methods provide a wide spectrum of computationally efficient techniques for statistical tasks such as parameter estimation and model selection. In this paper,...
Arthur Asuncion, Qiang Liu, Alexander T. Ihler, Pa...
IROS
2006
IEEE
144views Robotics» more  IROS 2006»
15 years 3 months ago
Finding Resonance: Adaptive Frequency Oscillators for Dynamic Legged Locomotion
— There is much to gain from providing walking machines with passive dynamics, e.g. by including compliant elements in the structure. These elements can offer interesting propert...
Jonas Buchli, Fumiya Iida, Auke Jan Ijspeert
HYBRID
2004
Springer
15 years 3 months ago
Inference Methods for Autonomous Stochastic Linear Hybrid Systems
We present a parameter inference algorithm for autonomous stochastic linear hybrid systems, which computes a maximum-likelihood model, given only a set of continuous output data of...
Hamsa Balakrishnan, Inseok Hwang, Jung Soon Jang, ...
ICCAD
2003
IEEE
140views Hardware» more  ICCAD 2003»
15 years 3 months ago
Circuit Simulation of Nanotechnology Devices with Non-monotonic I-V Characteristics
As research begins to explore potential nanotechnologies for future post-CMOS integrated systems, modeling and simulation environments must be developed that can accommodate the c...
Jiayong Le, Lawrence T. Pileggi, Anirudh Devgan
NIPS
2007
14 years 11 months ago
Distributed Inference for Latent Dirichlet Allocation
We investigate the problem of learning a widely-used latent-variable model – the Latent Dirichlet Allocation (LDA) or “topic” model – using distributed computation, where ...
David Newman, Arthur Asuncion, Padhraic Smyth, Max...