"Life support machine" Essays and Research Papers

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    investigate the performance of novel classification schemes for spectrum sensing in cooperative multiple-input multiple-output (MIMO) wireless cognitive radio (CR) networks. In this context‚ we consider several optimal classification schemes such as support vector classifiers (SVC)‚ logistic regression (LR) and quadratic discrimination (QD) for primary user detection. It is demonstrated that these classification techniques have a significantly reduced complexity of implementation in practical CR applications

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    Some patients with cancer walk out of hospitals others might die in unimaginable pain. People with UNREVERSABLE brain damage have less options. They either need assistance from machines and family for the rest of their life. Or they can even be in a state of vegetation where they can’t move at all. Alive only by their machines. In these conditions people should have the option of euthanasia. Euthanasia is when doctor administers a drug to kill a patient‚ all patients should have this option. Euthanasia

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    Neurocomputing 55 (2003) 307 – 319 www.elsevier.com/locate/neucom Financial time series forecasting using support vector machines Kyoung-jae Kim∗ Department of Information Systems‚ College of Business Administration‚ Dongguk University‚ 3-26‚ Pil-dong‚ Chung-gu‚ Seoul 100715‚ South Korea Received 28 February 2002; accepted 13 March 2003 Abstract Support vector machines (SVMs) are promising methods for the prediction of ÿnancial timeseries because they use a risk function consisting of the

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    Withold Life Support

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    Withdrawing/Withholding Life Support: Pros and Cons November 16‚ 2012 ABSTRACT When a person is being sustained by life support‚ families and loved ones are frequently confronted with the resolve about when to terminate these supports (Meeker‚ 2012). Recently it has turned into “pulling the plug” prior to death regardless of the tubes and machines keeping the patient alive. Withdrawal choices are informal and quietly decided. If these life-ending decisions were standardized and validated

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    of Features : Spatial Pyramid Matching for Recognizing Natural Scene Categories‚” in Computer Vision and Pattern Recognition‚ 2006. [3] G. M. N. S. Hadjidemetriou E‚ “Multiresolution Histograms and Their Use for Recognition‚” Pattern Analysis and Machine Intelligence‚ 2004. [4] “Wikipedia‚” [Online]. Available: http://en.wikipedia.org/wiki/Scaleinvariant_feature_transform. [5] “Wikipedia‚” [Online]. Available: http://en.wikipedia.org/wiki/Support_vector_machine.

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    Force Sensitive Resistor

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    ANALYSIS Abstract: Sensible Shoes is a hands-free and eyes-free foot-computer interface that supports on-the-go interaction with surrounding environments. We recognize different low-level activities by measuring the user’s continuous weight distribution over the feet with twelve Force Sensing Resistor (FSR) sensors embedded in the insoles of shoes. Using the sensor data as inputs‚ a Support Vector Machine (SVM) classifier identifies up to eighteen mobile activities and a four-directional foot control

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    dimensional data available from public financial statements make credit analysis difficult. To address the problem‚ dimensionality reduction is a key step to enhance scoring accuracy. By using semi-supervised discriminant analysis (SSDA) and support vector machines (SVMs)‚ this study develops a novel system for credit scoring‚ where SSDA transforms high dimensional data space (over 50 financial variables) to a perfect low dimensional representative subspace with maximal discriminating power. Constructing

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    data mining hw 3

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    • Na¨ Bayes ive You need to try Naive Bayes without smoothing and use smoothing. • k -Nearest Neighbor for kNN‚ k is a parameter. You need to report two result‚ k =1 and k =p. you can choose an appropriate p for different datasets. • Support Vector Machine Use both LibSVM (http://www.csie.ntu.edu.tw/~cjlin/libsvm/) and LibLinear (http://www.csie.ntu.edu.tw/~cjlin/liblinear/) Use LibSVM with linear kernel and Gaussian Kernel (tune the parameters) LibLinear is always linear‚ you need to compare

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    Life Support Have you ever wondered what you would do if you had a family member dying on life support? Would you want extraordinary measures taken to help them live? Would you want to let nature take its course? Family members can be left with the huge responsibility of what they think is best for you. Do you really want to leave this important decision for them to make? Life support should only be used in the circumstances that the patient has a chance of living off the machine. Those on life

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    This paper will be discussing the controversial topic of life support. Should it be allowed‚ should it be mandatory for a period of time after pronounced brain death? Or should the person in question be made the sole decision maker in the event of there untimely death and if no prior decision is made they let the person die. These are the topics we will be discussing in this paper. On one side miracles do happen but on the other at what cost ‚ well one woman named danielle didn’t care what the

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