Sciweavers

NIPS
2007
14 years 1 months ago
Learning the structure of manifolds using random projections
We present a simple variant of the k-d tree which automatically adapts to intrinsic low dimensional structure in data.
Yoav Freund, Sanjoy Dasgupta, Mayank Kabra, Nakul ...
NIPS
2007
14 years 1 months ago
Structured Learning with Approximate Inference
In many structured prediction problems, the highest-scoring labeling is hard to compute exactly, leading to the use of approximate inference methods. However, when inference is us...
Alex Kulesza, Fernando Pereira
NIPS
2007
14 years 1 months ago
Exponential Family Predictive Representations of State
David Wingate, Satinder Singh Baveja
NIPS
2007
14 years 1 months ago
Regularized Boost for Semi-Supervised Learning
Semi-supervised inductive learning concerns how to learn a decision rule from a data set containing both labeled and unlabeled data. Several boosting algorithms have been extended...
Ke Chen 0001, Shihai Wang
NIPS
2007
14 years 1 months ago
Rapid Inference on a Novel AND/OR graph for Object Detection, Segmentation and Parsing
In this paper we formulate a novel AND/OR graph representation capable of describing the different configurations of deformable articulated objects such as horses. The representa...
Yuanhao Chen, Long Zhu, Chenxi Lin, Alan L. Yuille...
NIPS
2007
14 years 1 months ago
Receptive Fields without Spike-Triggering
Stimulus selectivity of sensory neurons is often characterized by estimating their receptive field properties such as orientation selectivity. Receptive fields are usually deriv...
Jakob Macke, Guenther Zeck, Matthias Bethge
NIPS
2007
14 years 1 months ago
A neural network implementing optimal state estimation based on dynamic spike train decoding
It is becoming increasingly evident that organisms acting in uncertain dynamical environments often employ exact or approximate Bayesian statistical calculations in order to conti...
Omer Bobrowski, Ron Meir, Shy Shoham, Yonina C. El...
NIPS
2007
14 years 1 months ago
Variational inference for Markov jump processes
Markov jump processes play an important role in a large number of application domains. However, realistic systems are analytically intractable and they have traditionally been ana...
Manfred Opper, Guido Sanguinetti
NIPS
2007
14 years 1 months ago
Regret Minimization in Games with Incomplete Information
Extensive games are a powerful model of multiagent decision-making scenarios with incomplete information. Finding a Nash equilibrium for very large instances of these games has re...
Martin Zinkevich, Michael Johanson, Michael H. Bow...
NIPS
2007
14 years 1 months ago
TrueSkill Through Time: Revisiting the History of Chess
We extend the Bayesian skill rating system TrueSkill to infer entire time series of skills of players by smoothing through time instead of filtering. The skill of each participat...
Pierre Dangauthier, Ralf Herbrich, Tom Minka, Thor...