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- Nolan Mann, Wellman, Steve Mann, Jason Nolan, Barry Wellman Sociology, Kathleen Pirrie Adams +17 others
- 2003

This paper describes using wearable computing devices to perform "sousveillance" (inverse surveillance) as a counter to organizational surveillance. A variety of wearable computing devices generated different kinds of responses, and allowed for the collection of data in different situations. Visible sousveillance often evoked counter-performances by… (More)

- Andrew Ng
- 2011

- Andrew Ng
- 2007

The k-means clustering algorithm In the clustering problem, we are given a training set {x

1 Motivated in part by the hierarchical organization of the neocortex, a number of recently proposed algorithms have tried to learn hierarchical, or " deep, " structure from unlabeled data. While several authors have formally or informally compared their algorithms to computations performed in visual area V1 (and the cochlea), little attempt has been made… (More)

- Andrew Ng
- 2009

This set of notes presents the Support Vector Machine (SVM) learning algorithm. SVMs are among the best (and many believe are indeed the best) " off-the-shelf " supervised learning algorithm. To tell the SVM story, we'll need to first talk about margins and the idea of separating data with a large " gap. " Next, we'll talk about the optimal margin… (More)

- Andrew Ng
- 2007

In this set of notes, we discuss the EM (Expectation-Maximization) for density estimation. Suppose that we are given a training set {x (1) ,. .. , x (m) } as usual. Since we are in the unsupervised learning setting, these points do not come with any labels. We wish to model the data by specifying a joint distribution p(x

- Jorge Filevich, Jorge J Rocca, Mario C Marconi, Raymond F Smith, James Dunn, Roisin Keenan +5 others
- Applied optics
- 2004

We describe a soft-x-ray laser interferometry technique that allows two-dimensional diagnosis of plasma electron density with picosecond time resolution. It consists of the combination of a robust high-throughput amplitude-division interferometer and a 14.7-nm transient-inversion soft-x-ray laser that produces approximately 5-ps pulses. Because of its… (More)

This ALT conference is the 17th in a series of annual meetings established in 1990. For information concerning previous ALT meetings visit the Archives of ALT conferences at The ALT series is focusing on all areas related to algo-rithmic learning theory including (but not limited to): Comparison of the strength of learning models and the design and… (More)

- Andrea L Kritcher, Paul Neumayer, John Castor, Tilo Döppner, Roger W Falcone, Otto L Landen +7 others
- Science
- 2008

Spectrally resolved scattering of ultrafast K-alpha x-rays has provided experimental validation of the modeling of the compression and heating of shocked matter. The elastic scattering component has characterized the evolution and coalescence of two shocks launched by a nanosecond laser pulse into lithium hydride with an unprecedented temporal resolution of… (More)

- Andrew Ng
- 2012

So far, we've mainly been talking about learning algorithms that model p(y|x; θ), the conditional distribution of y given x. For instance, logistic regression modeled p(y|x; θ) as h θ (x) = g(θ T x) where g is the sigmoid function. In these notes, we'll talk about a different type of learning algorithm. Consider a classification problem in which we want to… (More)