Results 1 to 10 of about 505 (35)
OCR17: Ground Truth and Models for 17th c. French Prints (and hopefully more) [PDF]
Journal of Data Mining and Digital Humanities, 2023 Machine learning begins with machine teaching: in the following paper, we present the data that we have prepared to kick-start the training of reliable OCR models for 17th century prints written in French. The construction of a representative corpus is a
Simon Gabay +2 more
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Deep Neuroevolution of Recurrent and Discrete World Models [PDF]
, 2019 Neural architectures inspired by our own human cognitive system, such as the recently introduced world models, have been shown to outperform traditional deep reinforcement learning (RL) methods in a variety of different domains. Instead of the relatively
Asai Masataro +4 more
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K-Bit-Swap: a new operator for real-coded evolutionary algorithms [PDF]
, 2016 There have been a variety of crossover operators proposed for real-coded genetic algorithms (RCGAs). Such operators recombine values from pairs of strings to generate new solutions.
Marsland, S., Ter-Sarkisov, A.
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POWERPLAY: Training an Increasingly General Problem Solver by Continually Searching for the Simplest Still Unsolvable Problem [PDF]
, 2011 Most of computer science focuses on automatically solving given computational problems. I focus on automatically inventing or discovering problems in a way inspired by the playful behavior of animals and humans, to train a more and more general problem ...
Schmidhuber, Jürgen
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Neuroevolution in Games: State of the Art and Open Challenges [PDF]
, 2015 This paper surveys research on applying neuroevolution (NE) to games. In neuroevolution, artificial neural networks are trained through evolutionary algorithms, taking inspiration from the way biological brains evolved.
Risi, Sebastian, Togelius, Julian
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Neural Modelling of Dynamic Systems with Time Delays Based on an Adjusted NEAT Algorithm
, 2023 A problem related to the development of an algorithm designed to find an architecture of artificial neural network used for black-box modelling of dynamic systems with time delays has been addressed in this paper.
Laddach, Krzysztof, Łangowski, Rafał
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Regeneration and Generalization of Cellular Automata through Evolution Strategies [PDF]
, 2021 Cellulære tilstandsmaskiner er systemer av celler som kan demonstrere avansert adferd, bare ved bruk av felles oppdateringsregler og lokal kommunikasjon.
Dalheim, William, Jacobsen, Jonas Brager
core
, 2018 Universal induction relies on some general search procedure that is doomed to be inefficient. One possibility to achieve both generality and efficiency is to specialize this procedure w.r.t. any given narrow task.
A Graves +7 more
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Towards an Evolvable Cancer Treatment Simulator [PDF]
, 2019 The use of high-fidelity computational simulations promises to enable high-throughput hypothesis testing and optimisation of cancer therapies. However, increasing realism comes at the cost of increasing computational requirements.
Adamatzky, Andrew +2 more
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A Survey of Adaptive Resonance Theory Neural Network Models for Engineering Applications
, 2019 This survey samples from the ever-growing family of adaptive resonance theory (ART) neural network models used to perform the three primary machine learning modalities, namely, unsupervised, supervised and reinforcement learning.
da Silva, Leonardo Enzo Brito +2 more
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