A Novel Metaheuristic Data Mining Algorithm for the Detection and
... with an aim to assist the experts for making a diagnosis over PD. The research dataset comprises of so many voice signals obtained from 31 people (23 with people having PD and 8 healthier ones). Thus, this study relied on PD data to set obtained from University of California (UCI) machine learning d ...
... with an aim to assist the experts for making a diagnosis over PD. The research dataset comprises of so many voice signals obtained from 31 people (23 with people having PD and 8 healthier ones). Thus, this study relied on PD data to set obtained from University of California (UCI) machine learning d ...
document - Catholic Diocese of Wichita
... Despite of the encouraging results achieved by related studies, and its ability to hold classification problems, there was a direction by academic and practitioners for having more developed models with improved accuracy. However, they have been developing scoring models based on new advanced techni ...
... Despite of the encouraging results achieved by related studies, and its ability to hold classification problems, there was a direction by academic and practitioners for having more developed models with improved accuracy. However, they have been developing scoring models based on new advanced techni ...
Fulltext - Brunel University Research Archive
... Despite of the encouraging results achieved by related studies, and its ability to hold classification problems, there was a direction by academic and practitioners for having more developed models with improved accuracy. However, they have been developing scoring models based on new advanced techni ...
... Despite of the encouraging results achieved by related studies, and its ability to hold classification problems, there was a direction by academic and practitioners for having more developed models with improved accuracy. However, they have been developing scoring models based on new advanced techni ...
Self-Motivating Computational System Cognitive Architecture
... quality of the system by design as per the suggestion that it is an emergent quality but this is not by chance and not a surprise as it was a specific design goal to create such a system that would produce the effect as an effect of the systems operation with coding for thought specifically but codi ...
... quality of the system by design as per the suggestion that it is an emergent quality but this is not by chance and not a surprise as it was a specific design goal to create such a system that would produce the effect as an effect of the systems operation with coding for thought specifically but codi ...
Chapter 02 for Neuro-Fuzzy and Soft Computing
... SC Constituants and Conventional AI (1) “SC is an emerging approach to computing which parallel the remarkable ability of the human mind to reason and learn in a environment of uncertainty and imprecision” [Lotfi A. ...
... SC Constituants and Conventional AI (1) “SC is an emerging approach to computing which parallel the remarkable ability of the human mind to reason and learn in a environment of uncertainty and imprecision” [Lotfi A. ...
Evolving Spiking Neural Networks for Spatio- and - kedri
... transformed into spikes. Different approaches can be used: population rank coding; thresholding the input value, so that a spike is generated if the input value (e.g. pixel intensity) is above a threshold; Address Event Representation (AER) thresholding the difference between two consecutive values ...
... transformed into spikes. Different approaches can be used: population rank coding; thresholding the input value, so that a spike is generated if the input value (e.g. pixel intensity) is above a threshold; Address Event Representation (AER) thresholding the difference between two consecutive values ...
Introduction to Neuro-fuzzy and Soft computing
... expertise within a specific domain, adapt themselves and learn to perform better in changing environments These systems explain how they make decisions or take actions They are composed of two features: “adaptivity” & “knowledge ...
... expertise within a specific domain, adapt themselves and learn to perform better in changing environments These systems explain how they make decisions or take actions They are composed of two features: “adaptivity” & “knowledge ...
Deep Machine Learning—A New Frontier in Artificial Intelligence
... and finally propagates through an activation function. Some variants of this exist with as few as one map per layer [13] or summations of multiple maps [8]. When the weighting is small, the activation function is nearly linear and the result is a blurring of the image; other weightings can cause the ...
... and finally propagates through an activation function. Some variants of this exist with as few as one map per layer [13] or summations of multiple maps [8]. When the weighting is small, the activation function is nearly linear and the result is a blurring of the image; other weightings can cause the ...
Chapter 1: Introduction to AI
... • Recognizing normal speech is much more difficult – speech is continuous: where are the boundaries between words? • e.g., “John’s car has a flat tire” – large vocabularies • can be many thousands of possible words • we can use context to help figure out what someone said – e.g., hypothesize and tes ...
... • Recognizing normal speech is much more difficult – speech is continuous: where are the boundaries between words? • e.g., “John’s car has a flat tire” – large vocabularies • can be many thousands of possible words • we can use context to help figure out what someone said – e.g., hypothesize and tes ...
Aiding Classification of Gene Expression Data with Feature Selection
... patterns with. These cases will unavoidably lead to false negatives and false positives in classification. It is because of such difficulties possessed by this data set that it has been chosen to carry out the present study, with an aim to check the potential of combining different classification an ...
... patterns with. These cases will unavoidably lead to false negatives and false positives in classification. It is because of such difficulties possessed by this data set that it has been chosen to carry out the present study, with an aim to check the potential of combining different classification an ...
Building a multimodal human-robot interface
... The interface should be able to handle potential problems of human speech such as sentence fragments, false starts, and interruptions. (We ignore here the obvious problems of speech recognition due to extraneous noise, mumbling, and so on.) It should also know what the referents are to the pronouns ...
... The interface should be able to handle potential problems of human speech such as sentence fragments, false starts, and interruptions. (We ignore here the obvious problems of speech recognition due to extraneous noise, mumbling, and so on.) It should also know what the referents are to the pronouns ...
Distributed Computing
... many computers, each accomplishing a portion of an overall task, to achieve a computational result much more quickly than with a single computer.” “Distributed computing is any computing that involves multiple computers remote from each other that each have a role in a computation problem or informa ...
... many computers, each accomplishing a portion of an overall task, to achieve a computational result much more quickly than with a single computer.” “Distributed computing is any computing that involves multiple computers remote from each other that each have a role in a computation problem or informa ...
A Connectionist Expert Approach
... syllables [1, 9, 11]. Syllables could also be easily processed and have well defined linguistic statute, especially in the phonetic level where they represent suitable unit for the lexical access. These elements have motivated our choice to consider the syllable for modelling the phonetic level. Ano ...
... syllables [1, 9, 11]. Syllables could also be easily processed and have well defined linguistic statute, especially in the phonetic level where they represent suitable unit for the lexical access. These elements have motivated our choice to consider the syllable for modelling the phonetic level. Ano ...