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» On the Complexity of Function Learning
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ICASSP
2011
IEEE
14 years 8 months ago
Fast adaptive variational sparse Bayesian learning with automatic relevance determination
In this work a new adaptive fast variational sparse Bayesian learning (V-SBL) algorithm is proposed that is a variational counterpart of the fast marginal likelihood maximization ...
Dmitriy Shutin, Thomas Buchgraber, Sanjeev R. Kulk...
CVPR
2012
IEEE
13 years 7 months ago
An online learned CRF model for multi-target tracking
We introduce an online learning approach for multitarget tracking. Detection responses are gradually associated into tracklets in multiple levels to produce final tracks. Unlike ...
Bo Yang, Ram Nevatia
137
Voted
COMPLEXITY
2004
69views more  COMPLEXITY 2004»
15 years 4 months ago
Mathematical models for explaining the emergence of specialization in performing tasks
In an evolving community consisting of many individuals, it is often the case that the individuals tend, over time, to become more specialized in performing the tasks necessary fo...
Daniel Solow, Joesph Szmerekovsky
AAAI
2008
15 years 7 months ago
Examining Difficulties Software Developers Encounter in the Adoption of Statistical Machine Learning
Statistical machine learning continues to show promise as a tool for addressing complex problems in a variety of domains. An increasing number of developers are therefore looking ...
Kayur Patel, James Fogarty, James A. Landay, Bever...
174
Voted
IADIS
2004
15 years 6 months ago
Robo-Elc: A Robotic Adaptive Learning Appliance
This article describes a robotic adaptive learning appliance called Robo-eLC. The appliance is the result of a multidisciplinary approach which combines e-Learning and e-Commerce ...
Gaetano La Russa, Esko Marjomaa