rcpinto
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Is a genetic algorithm an example of artificial intelligence?
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9 votes

An ability that is commonly attributed to intelligence is problem solving. Another one is learning (improving itself from experience). Artificial intelligence can be defined as "replicating ...

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How can the generalization error be estimated?
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6 votes

Generalization error is the error obtained by applying a model to data it has not seen before. So, if you want to measure generalization error, you need to remove a subset from your data and don't ...

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What are some resources on continuous state and action spaces MDPs for reinforcement learning?
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5 votes

There is a small survey of continuous states, actions and time in reinforcement learning in my thesis proposal. Regarding books, Reinforcement Learning: State-of-the-Art seems to be pretty up-to-date ...

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What are the most challenging tasks aiming to achieve the lowest error rate?
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5 votes

Yes. Here are some of the most prominent ones and their respective state-of-the-art errors: CIFAR-10: ~3.5% error CIFAR-100: ~24% error STL-10: ~26% error SVHN: ~1.7% error ImageNet tasks: the best ...

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How successfully can convnets detect NSFW images?
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3 votes

The 2015 paper entitled "Applying deep learning to classify pornographic images and videos" applied various types of convnets for detecting pornography. The proposed architecture achieved 94.1% ...

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Which neural network has capabilities of sorting input?
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3 votes

Even a simple multilayer perceptron can sort input data to some extent, as you can see here and here. However, neural networks for sequential data seem more appropriate, as they can handle sequences ...

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What is the impact of using multiple BMUs for self-organizing maps?
0 votes

The following is my intuition about the behavior of the algorithm considering your question, based on my knowledge and experience with single BMU SOMs. I didn't verify it experimentally. At early ...

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