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Methods and Experiments With Bounded Tree-width Markov Networks
(2004-12-30)
Markov trees generalize naturally to bounded tree-width Markov networks, onwhich exact computations can still be done efficiently. However, learning themaximum likelihood Markov network with tree-width greater than 1 is ...
A general mechanism for tuning: Gain control circuits and synapses underlie tuning of cortical neurons
(2004-12-31)
Tuning to an optimal stimulus is a widespread property of neurons in cortex. We propose that such tuning is a consequence of normalization or gain control circuits. We also present a biologically plausible neural circuitry ...
Neural Voting Machines
(2004-12-31)
 Winner-take-all networks typically pick as winners that alternative with the largest excitatory input. This choice is far from optimal when there is uncertainty in the strength of the inputs, and when information is ...
Gestural Cues for Sentence Segmentation
(2005-04-19)
In human-human dialogues, face-to-face meetings are often preferred over phone conversations.One explanation is that non-verbal modalities such as gesture provide additionalinformation, making communication more efficient ...
Simultaneous Localization, Calibration, and Tracking in an ad Hoc Sensor Network
(2005-04-26)
We introduce Simultaneous Localization and Tracking (SLAT), the problem of tracking a target in a sensor network while simultaneously localizing and calibrating the nodes of the network. Our proposed solution, LaSLAT, ...
Fast Rates for Regularized Least-squares Algorithm
(2005-04-14)
We develop a theoretical analysis of generalization performances of regularized least-squares on reproducing kernel Hilbert spaces for supervised learning. We show that the concept of effective dimension of an integral ...
Risk Bounds for Regularized Least-squares Algorithm with Operator-valued kernels
(2005-05-16)
We show that recent results in [3] on risk bounds for regularized least-squares on reproducing kernel Hilbert spaces can be straightforwardly extended to the vector-valued regression setting. We first briefly introduce ...
Learning From Snapshot Examples
(2005-04-13)
Examples are a powerful tool for teaching both humans and computers.In order to learn from examples, however, a student must first extractthe examples from its stream of perception. Snapshot learning is ageneral approach ...
Construction by robot swarms using extended stigmergy
(2005-04-08)
We describe a system in which simple, identical, autonomous robots assemble two-dimensional structures out of identical building blocks. We show that, in a system divided in this way into mobile units and structural units, ...
Identifying Expression Fingerprints using Linguistic Information
(2005-11-18)
This thesis presents a technology to complement taxation-based policy proposals aimed at addressing the digital copyright problem. Theapproach presented facilitates identification of intellectual propertyusing expression ...