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» A Bayesian Metric for Evaluating Machine Learning Algorithms
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COLT
2006
Springer
15 years 1 months ago
Online Multitask Learning
We study the problem of online learning of multiple tasks in parallel. On each online round, the algorithm receives an instance and makes a prediction for each one of the parallel ...
Ofer Dekel, Philip M. Long, Yoram Singer
WSDM
2010
ACM
215views Data Mining» more  WSDM 2010»
15 years 7 months ago
GeoFolk: Latent spatial semantics in Web 2.0 social media
We describe an approach for multi-modal characterization of social media by combining text features (e.g. tags as a prominent example of short, unstructured text labels) with spat...
Sergej Sizov
UAI
2003
14 years 11 months ago
Probabilistic Models For Joint Clustering And Time-Warping Of Multidimensional Curves
In this paper we present a family of models and learning algorithms that can simultaneously align and cluster sets of multidimensional curves measured on a discrete time grid. Our...
Darya Chudova, Scott Gaffney, Padhraic Smyth
HUC
2010
Springer
14 years 8 months ago
Routine as resource for the design of learning systems
Even though the coordination of kids’ activities is largely successful, the modern dual income family still regularly experiences breakdowns in their practices. Families often r...
Scott Davidoff
COLT
2005
Springer
15 years 3 months ago
A New Perspective on an Old Perceptron Algorithm
Abstract. We present a generalization of the Perceptron algorithm. The new algorithm performs a Perceptron-style update whenever the margin of an example is smaller than a predefi...
Shai Shalev-Shwartz, Yoram Singer