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R-IAC: Robust intrinsically motivated exploration and active learning
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A Stream-Based Semi-Supervised Active Learning Approach for Document Classifi...
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Machine learning applied to speech language understanding : towards semi-supe...
Two wide research fields named Speech Recognition and Machine Learning meet with the Automatic Speech Language Understanding. One of the main problems in this domain... -
KrigInv: An efficient and user-friendly implementation of batch-sequential in...
Several strategies relying on kriging have recently been proposed for adaptively estimating contour lines and excursion sets of functions under severely limited... -
Les cartes heuristiques au service d'une pédagogie active
The effectiveness of spatial representations of concepts in the process of knowledge construction is well established today, but their use to assess the knowledge of... -
The role of intrinsic motivations in learning sensorimotor vocal mappings: a ...
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Exploration strategies in developmental robotics: a unified probabilistic fra...
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Fast uncertainty reduction strategies relying on Gaussian process models
This work deals with sequential and batch-sequential evaluation strategies of real-valued functions under limited evaluation budget, using Gaussian process models.... -
Adaptive Networks for Physical Modeling
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Learning how to reach various goals by autonomous interaction with the enviro...
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Evaluation of active learning strategies for video indexing
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TRECVID 2007 Collaborative Annotation using Active Learning
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Impact of digital literacy on the engineer curriculum
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Active learning for variety approximation
Statistical learning aims to modelize a functional link between two variables X and Y thanks to a random sample of realizations of the couple (X,Y ). When the variable... -
A Curious Robot Learner for Interactive Goal-Babbling : Strategically Choosin...
The challenges posed by robots operating in human environments on a daily basis and in the long-termpoint out the importance of adaptivity to changes which can be...
