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NIPS
2001
13 years 10 months ago
Probabilistic Inference of Hand Motion from Neural Activity in Motor Cortex
Statistical learning and probabilistic inference techniques are used to infer the hand position of a subject from multi-electrode recordings of neural activity in motor cortex. Fi...
Yun Gao, Michael J. Black, Elie Bienenstock, Shy S...
ICFP
2007
ACM
14 years 9 months ago
Implicit phasing for R6RS libraries
The forthcoming Revised6 Report on Scheme differs from previous reports in that the language it describes is structured as a set of libraries. It also provides a syntax for defini...
Abdulaziz Ghuloum, R. Kent Dybvig
INFOCOM
2008
IEEE
14 years 3 months ago
Minerva: Learning to Infer Network Path Properties
—Knowledge of the network path properties such as latency, hop count, loss and bandwidth is key to the performance of overlay networks, grids and p2p applications. Network operat...
Rita H. Wouhaybi, Puneet Sharma, Sujata Banerjee, ...
ECML
2005
Springer
14 years 2 months ago
U-Likelihood and U-Updating Algorithms: Statistical Inference in Latent Variable Models
Abstract. In this paper we consider latent variable models and introduce a new U-likelihood concept for estimating the distribution over hidden variables. One can derive an estimat...
JaeMo Sung, Sung Yang Bang, Seungjin Choi, Zoubin ...
UAI
1998
13 years 10 months ago
Tractable Inference for Complex Stochastic Processes
The monitoring and control of any dynamic system depends crucially on the ability to reason about its current status and its future trajectory. In the case of a stochastic system,...
Xavier Boyen, Daphne Koller