is a classical problem extensively studied by statisticians and machine learning researchers. It is an important problem in variety of engineering and scientific disciplines such as biology, psychology, medicines, marketing, computer vision, and artificial intelligence [1]. The goal of the data classification is to classify objects into a number of categories or classes. Given a dataset, its classification may fall into two tasks i) supervised classification in which given data object is identified
Words: 3994 - Pages: 16
Supertoys last all summer long Where do we draw the line? Is it okay to medicate feelings away? Who is responsible for the actions undertaken by autonomous systems? With the increasing development on genetic modification, autonomous machines and the knowledge about our brain and nervous system’s chemistry, things we see in science fiction movies are beginning to seem possible and this poses questions to ethicists and scientists. In the short story “Super toys last all summer long”, Brian Aldiss
Words: 1625 - Pages: 7
Machine learning According to Alp Aydin (2010), Machine learning is an area of artificial intelligence that developed from design acknowledgment and computational learning hypothesis. It investigates the study and development of calculations that can gain from and make expectations on information. Such calculations work by building a model from sample inputs keeping in mind the end goal to settle on information driven forecasts or choices, as opposed to taking after entirely static project guidelines
Words: 987 - Pages: 4
ARTIFICIAL NEURAL NETWORKS METHODOLOGICAL ADVANCES AND BIOMEDICAL APPLICATIONS Edited by Kenji Suzuki Artificial Neural Networks - Methodological Advances and Biomedical Applications Edited by Kenji Suzuki Published by InTech Janeza Trdine 9, 51000 Rijeka, Croatia Copyright © 2011 InTech All chapters are Open Access articles distributed under the Creative Commons Non Commercial Share Alike Attribution 3.0 license, which permits to copy, distribute, transmit, and adapt the work in any medium
Words: 43079 - Pages: 173
First International Conference on Emerging Trends in Engineering and Technology Rough Set Approach for Feature Reduction in Pattern Recognition through Unsupervised Artificial Neural Network A. G. Kothari A.G. Keskar A.P. Gokhale Rucha Pranjali Lecturer Professor Professor Deshpande Deshmukh agkothari72@re B.Tech Student B.Tech Student diffmail.com Department of Electronics & Computer Science Engineering, VNIT, Nagpur Abstract The Rough Set approach can be applied in pattern recognition at three
Words: 2369 - Pages: 10
ISSN: 2277-3754 ISO 9001:2008 Certified International Journal of Engineering and Innovative Technology (IJEIT) Volume 2, Issue 7, January 2013 Recognition for Handwritten English Letters: A Review Nisha Sharma, Tushar Patnaik, Bhupendra Kumar Abstract -- Character recognition is one of the most interesting and challenging research areas in the field of Image processing. English character recognition has been extensively studied in the last half century. Nowadays different methodologies are
Words: 2982 - Pages: 12
Machine Learning Neural Networks - II 12.4.3 Perceptron Definition: It’s a step function based on a linear combination of real-valued inputs. If the combination is above a threshold it outputs a 1, otherwise it outputs a –1. x1 x2 w1 w2 wn Σ w0 X0=1 {1 or –1} xn O(x1,x2,…,xn) = 1 if w0 + w1x1 + w2x2 + … + wnxn > 0 -1 otherwise A perceptron draws a hyperplane as the decision boundary over the (n-dimensional) input space. + + + - Decision boundary (WX = 0) A perceptron
Words: 663 - Pages: 3
reportDestruction of Home through Technology In this section I will argue that home in Minority Report (51) fails to be established due to the invasion of technology. I will achieve this by looking at three aspects of the film that depict the loss of home. I have chosen this film as it clearly depicts a technologically advanced world, where privacy has been lost. Minority Report, directed by Steven Spielberg in 2002, is partially based on the novel Minority Report (ref), written by Philip K. Dick
Words: 707 - Pages: 3
is a classical problem extensively studied by statisticians and machine learning researchers. It is an important problem in variety of engineering and scientific disciplines such as biology, psychology, medicines, marketing, computer vision, and artificial intelligence [1]. The goal of the data classification is to classify objects into a number of categories or classes. Given a dataset, its classification may fall into two tasks i) supervised classification in which given data object is identified
Words: 4028 - Pages: 17
2D1432 Artificial Neural Networks and Other Learning Systems ! Plasticity vs. Stability Dilemma Plasticity: Network needs to learn new patterns Stability: Network needs to memorize old patterns Human brain: face recognition Adaptive Resonance Theory (ART) ! ! ! Plasticity vs. Stability Dilemma Backpropagation ! ART Characteristics Goal: Design a neural network that preserves its previously learned knowledge while continuing to learn new things. Biologically plausible: ART
Words: 1571 - Pages: 7
