4 citations · 7 across the 4 of their papers we have counts for
4 papers
Manifold Oblique Random Forests: Towards Closing the Gap on Convolutional Deep Networks
Adam Li, Ronan Perry, Chester Huynh +6
Decision forests (Forests), in particular random forests and gradient boosting trees, have demonstrated state-of-the-art accuracy compared to other methods in many supervised learn…
Winning versus losing during gambling and its neural correlates
Pierre Sacré, Matthew S. D. Kerr, Sandya Subramanian +5
Humans often make decisions which maximize an internal utility function. For example, humans often maximize their expected reward when gambling and this is considered as a "rationa…
Electrical neurostimulation for chronic pain: on selective relay of sensory neural activities in myelinated nerve fibers
Pierre Sacré, Sridevi V. Sarma, Yun Guan +1
Chronic pain affects about 100 million adults in the US. Despite their great need, neuropharmacology and neurostimulation therapies for chronic pain have been associated with subop…
Nonparametric Estimation of Band-limited Probability Density Functions
Rahul Agarwal, Zhe Chen, Sridevi V. Sarma
In this paper, a nonparametric maximum likelihood (ML) estimator for band-limited (BL) probability density functions (pdfs) is proposed. The BLML estimator is consistent and comput…