![arXiv:1604.00289v3 [cs.AI] 2 Nov 2016](http://s1.studyres.com/store/data/003558001_1-ebbf1f5b4b7daca920a4ae5f6fdbbe61-300x300.png)
Mining Sensor Data Streams
... where the battery runs out, the data may also be incomplete. Therefore, methods are required to store and process the uncertainty in the underlying data. A common technique is to perform model driven data acquisition [36], which explicitly models the uncertainty during the acquisition process. Furth ...
... where the battery runs out, the data may also be incomplete. Therefore, methods are required to store and process the uncertainty in the underlying data. A common technique is to perform model driven data acquisition [36], which explicitly models the uncertainty during the acquisition process. Furth ...
Building Machines That Learn and Think Like People
... neural networks on control tasks such as playing Atari games. A network is trained to approximate the optimal action-value function Q(s, a), which is the expected long-term cumulative reward of taking action a in state s and then optimally selecting future actions. Generative model: A model that spe ...
... neural networks on control tasks such as playing Atari games. A network is trained to approximate the optimal action-value function Q(s, a), which is the expected long-term cumulative reward of taking action a in state s and then optimally selecting future actions. Generative model: A model that spe ...
Learning curves for Gaussian process regression on random graphs
... We look at the learning curves, the mean square error as a function of the number of examples N ...
... We look at the learning curves, the mean square error as a function of the number of examples N ...
Inferring Robot Actions from Verbal Commands Using Shallow
... Abstract— Efficient and effective speech understanding systems are highly interesting for development of robots working together with humans. In this paper we focus on interpretation of commands given to a robot by a human. The robot is assumed to be equipped with a number of pre-defined action primit ...
... Abstract— Efficient and effective speech understanding systems are highly interesting for development of robots working together with humans. In this paper we focus on interpretation of commands given to a robot by a human. The robot is assumed to be equipped with a number of pre-defined action primit ...
Brief Survey on Computational Solutions for Bayesian Inference
... belief propagation algorithm, the Kalman filter, and certain fast Fourier transform (FFT) algorithms. The research team led by Professor Jorge Dias at the Institute of Systems and Robotics (University of Coimbra) have presented recent work on Bayesian inference exploiting datalevel parallelism. In p ...
... belief propagation algorithm, the Kalman filter, and certain fast Fourier transform (FFT) algorithms. The research team led by Professor Jorge Dias at the Institute of Systems and Robotics (University of Coimbra) have presented recent work on Bayesian inference exploiting datalevel parallelism. In p ...
Invoking methods in the Java library
... • Mathematical functions are implemented as Java methods Examples: • The sine function is implemented as the Math.sin method in the Java standard library. • The cosine function is implemented as the Math.cos method in the Java standard library. • The square root function is implemented as the Math.s ...
... • Mathematical functions are implemented as Java methods Examples: • The sine function is implemented as the Math.sin method in the Java standard library. • The cosine function is implemented as the Math.cos method in the Java standard library. • The square root function is implemented as the Math.s ...
Introduction to AI - Florida Tech Department of Computer Sciences
... • Current boom in Data Science (a new name for Data Mining) • Helps in other advanced courses ...
... • Current boom in Data Science (a new name for Data Mining) • Helps in other advanced courses ...
AAAI-08 / IAAI-08 - Association for the Advancement of Artificial
... IBM Research, Toyota Motor Engineering and Manufacturing North America Inc., Cornell University Intelligent Information Systems Institute, D. E. Shaw, and ACM/SIGART ...
... IBM Research, Toyota Motor Engineering and Manufacturing North America Inc., Cornell University Intelligent Information Systems Institute, D. E. Shaw, and ACM/SIGART ...
Graph-based consensus clustering for class discovery from gene
... attention to class discovery based on the consensus clustering approaches. • They consist of two major steps: – Generating a cluster ensemble based on a clustering algorithm. – Finding a consensus partition based on this ensemble. ...
... attention to class discovery based on the consensus clustering approaches. • They consist of two major steps: – Generating a cluster ensemble based on a clustering algorithm. – Finding a consensus partition based on this ensemble. ...
Tracking the Emergence of Conceptual Knowledge during Human
... remarkable capacity of humans to discover the conceptual structure of related experiences and use this knowledge to solve exacting decision problems. INTRODUCTION The capacity to bring prior knowledge to bear in novel situations is a defining characteristic of human intelligence. A powerful way in w ...
... remarkable capacity of humans to discover the conceptual structure of related experiences and use this knowledge to solve exacting decision problems. INTRODUCTION The capacity to bring prior knowledge to bear in novel situations is a defining characteristic of human intelligence. A powerful way in w ...
Advances in Environmental Biology Alireza Lavaei and
... In the last decade, artificial intelligence techniques have emerged as a powerful tool that could be used to replace time-consuming procedures in many scientific or engineering applications. The interest showed to neural networks is mainly due to their ability to process external data and informatio ...
... In the last decade, artificial intelligence techniques have emerged as a powerful tool that could be used to replace time-consuming procedures in many scientific or engineering applications. The interest showed to neural networks is mainly due to their ability to process external data and informatio ...
Succinct Data Structure
... Need to support two additional operations: is_chain_prefix/suffix Decompress fingerprints, use lookup tables: tree + inorder position ...
... Need to support two additional operations: is_chain_prefix/suffix Decompress fingerprints, use lookup tables: tree + inorder position ...