Browsed by
Category: Neural Networks

Evolution and Biocomputation: Computational Models of

Evolution and Biocomputation: Computational Models of

Format: Paperback

Language: English

Format: PDF / Kindle / ePub

Size: 9.91 MB

Downloadable formats: PDF

Our dueling network represents two separate estimators: one for the state value function and one for the state-dependent action advantage function. These networks can be trained greedily, one layer at a time, to help to overcome the vanishing gradient and overfitting problems associated with classic backpropagation. You’ll see that it’s just a simple modification to our recursive neural network. Learning to Filter with Predictive State Inference Machines Wen Sun Carnegie Mellon University, Arun Venkatraman Carnegie Mellon University, Byron Boots, J.

...

Read More Read More

Machine Vision, Second Edition: Theory, Algorithms,

Machine Vision, Second Edition: Theory, Algorithms,

Format: Hardcover

Language: English

Format: PDF / Kindle / ePub

Size: 6.56 MB

Downloadable formats: PDF

International Journal of Foundations of Computer Science, vol. 18 (2007) International Journal of Foundations of Computer Science, vol. 18 (2007), pp. 761-780 Proceedings of the 12th International Conference on Implementation and Application of Automata (CIAA 2007), Springer-Verlag, Heidelberg, Germany, Prague, Czech Republic Handbook on Speech Processing and Speech Communication, Part E: Speech recognition, Springer-Verlag, Heidelberg, Germany (2007) Proceedings of the 6th Workshop on Experimental Algorithms (WEA 2007), Springer-Verlag, Heidelberg, Germany, Rome, Italy, pp. 1-21 International Journal of Foundations of Computer Science, vol. to appear (2007) Proceedings of The 20th Annual Conference on Computational Learning Theory (COLT 2007), Springer, Heidelberg, Germany, San Diego, California Proceedings of the Twenty-fourth International Conference on Machine Learning (ICML 2007), Oregon State University, Corvallis, OR Advances in Neural Information Processing Systems (NIPS 2006), MIT Press, Vancouver, Canada (2007) International Journal of Foundations of Computer Science, vol. to appear (2007) Handbook on Speech Processing and Speech Communication, Part E: Speech recognition, Springer-Verlag, Heidelberg, Germany (2007) Proceedings of the Seventh Meeting of the Human Language Technology conference - North American Chapter of the Association for Computational Linguistics (HLT-NAACL 2006), New York, NY Proceedings of the 31st International Symposium on Mathematical Foundations of Computer Science (MFCS 2006), Springer-Verlag, Heidelberg, Germany, Star\'a Lesn\'a, Slovakia, pp. 110-121 Proceedings of the 7th Latin American Symposium (LATIN 2006), Springer-Verlag, Heidelberg, Germany, Valdivia, Chile Proceedings of The 17th International Conference on Algorithmic Learning Theory (ALT 2006), Springer, Heidelberg, Germany A Man of Measure: Festschrift in Honour of Fred Karlsson on this 60th Birthday, SKY Journal of Linguistics, Volume 19 (2006), pp. 432-439 Proceedings of the 11th International Conference on Implementation and Application of Automata (CIAA 2006), Springer-Verlag, Heidelberg, Germany, Taipei, Taiwan Proceedings of the Twenty-Second International Conference on Machine Learning (ICML 2005), Bonn, Germany Inquiries into Words, Constraints, and Contexts.

...

Read More Read More

Computational Neuroscience: Trends in Research 2001

Computational Neuroscience: Trends in Research 2001

Format: Hardcover

Language: English

Format: PDF / Kindle / ePub

Size: 9.49 MB

Downloadable formats: PDF

Note that this type of training will generally fit into the decision problem framework because the goal is not to produce a classification but to make decisions that maximize rewards. These three operators are, Selection - Using the sum-squared error of each network calculated after one feedforward pass, we rank the population of neural networks. Neural networks were first explored back in the '50s and '60s as a model for how the human brain works. From the user’s perspective, MDP is a collection of supervised and unsupervised learning algorithms and other data processing units that can be combined into data processing sequences and more complex feed-forward network architectures.

...

Read More Read More

Tools and Applications with Artificial Intelligence (Studies

Tools and Applications with Artificial Intelligence (Studies

Format: Hardcover

Language: English

Format: PDF / Kindle / ePub

Size: 12.86 MB

Downloadable formats: PDF

The system is inherently parallel in the sense that many units can carry out their computations at the same time. A switch is linked to feature detectors in at least some of the layers of the neural network. An example of this is that the patterns may be a list of quantities for different technical indicators regarding a security and the potential outputs may be the categories A hidden layer is one which receives as inputs the outputs from another layer; and for which the outputs form the inputs into yet another layer.

...

Read More Read More

Uncertainty in Knowledge Bases: 3rd International Conference

Uncertainty in Knowledge Bases: 3rd International Conference

Format: Paperback

Language: English

Format: PDF / Kindle / ePub

Size: 13.46 MB

Downloadable formats: PDF

We show, theoretically and empirically, that in some situations better accuracy on the training set is crucial to obtain good performance on unseen examples. That’s why we also developed low-power implementations of our NNs for cell phone chips. Empirical evaluations show the robustness and efficiency of the approximate algorithms in both synthetic and real-world large-scale problems. Finnish University Network (FUNET) - Neural Archive Site: An FTP archive for all kinds of artificial neural network, neurophysiology and neuropsychology materials.

...

Read More Read More

Artificial Intelligence: A Modern Approach

Artificial Intelligence: A Modern Approach

Format: Hardcover

Language: English

Format: PDF / Kindle / ePub

Size: 7.25 MB

Downloadable formats: PDF

We develop the first practical and FAst coNsTrained submOdular Maximization algorithm, FANTOM, with strong theoretical guarantees. Density estimation finds the distribution of inputs in some space. The neuron uses the following transfer or activation function: n +  1, if X ≥θ Y = X =∑ i wi x −  1, if X < θ i= 1 This type of activation function is called a sign function. From the eliminativists point of view, an allegiance to folk psychology, like allegiance to folk (Aristotelian) physics, stands in the way of scientific progress.

...

Read More Read More

Neural Networks & A New Artificial Intelligence

Neural Networks & A New Artificial Intelligence

Format: Paperback

Language: English

Format: PDF / Kindle / ePub

Size: 8.47 MB

Downloadable formats: PDF

Although the Spearmint + Celery system is working, we are currently evaluating more complete and flexible solutions using HTCondor or StarCluster. Sometimes changes in accuracy of a system will cause changes in the way you interact with the device,” Ng said. An Introduction to Probability Theory and its Applications. This datapoint is being classified correctly and there is no cost associated with it. To start, I think it has to do with metaphors.

...

Read More Read More

Vision and Brain: How the brain sees / New approaches to

Vision and Brain: How the brain sees / New approaches to

Format: Hardcover

Language: English

Format: PDF / Kindle / ePub

Size: 6.88 MB

Downloadable formats: PDF

The outputs of standard system and that of performance element are given as inputs to the feedback element for the comparison. Although it is straightforward to define similarity measures on two nets that contain the same number of units, it is harder to see how this can be done when the basic architectures of two nets differ. As mobile and Internet-connected devices proliferate, AI can be expected to become even more important as a way to facilitate function without traditional keyboard-based interaction.

...

Read More Read More

Neural Information Processing: 13th International

Neural Information Processing: 13th International

Format: Paperback

Language: English

Format: PDF / Kindle / ePub

Size: 12.51 MB

Downloadable formats: PDF

However, it has several additional advantages: (1) Training is parameter-free, given initial conditions (prior) and the MNN architecture. There is also an input that is not from other neurons, x0, called the "bias unit" which is always set to 1. Even better, he showed me how he was quickly able to apply it to a whole bunch of other image-recognition problems we had at Jetpac, and produce much better results than my conventional methods. Deep learning goes further than machine learning since it uses artificial neural networks to mimic a brain to quickly recognize specific distinctions of malware.

...

Read More Read More

Connectionism: Theory and Practice (Vancouver Studies in

Connectionism: Theory and Practice (Vancouver Studies in

Format: Paperback

Language: English

Format: PDF / Kindle / ePub

Size: 7.39 MB

Downloadable formats: PDF

We also need to pick an activation function for our hidden layer. Other companies might have to analyze the whole conversation in the cloud to identify those terms, he says, but an Apple device can detect it without having the data leave the user’s possession — because the system is constantly looking for matches on a knowledge base kept on the phone. (It’s part of that 200 megabyte “brain.”) “It’s a compact, but quite thorough knowledge base, with hundreds of thousands of locations and entities.

...

Read More Read More