14 research outputs found
Tropical Backpropagation
This work introduces tropicalization, a novel technique that delivers tropical neural
networks as tropical limits of deep ReLU networks. Tropicalization transfers the
initial weights from real numbers to those in the tropical semiring while maintain-
ing the underlying graph of the network. After verifying that tropicalization will
not affect the classification capacity of deep neural networks, this study introduces
a tropical reformulation of backpropagation via tropical linear algebra. Tropical
arithmetic replaces multiplication operations in the network with additions and
addition operations with max, and therefore, theoretically, reduces the algorithmic
complexity during the training and inference phase. We demonstrate the latter by
simulating the tensor multiplication underlying the feed-forward process of state-
of-the-art trained neural network architectures and compare the standard forward
pass of the models with the tropical ones. Our benchmark results show that tropi-
calization speeds up inference by 50 %. Hence, we conclude that tropicalization
bears the potential to reduce the training times of large neural networks drastically
Personality Identification from Social Media Using Deep Learning: A Review
Social media helps in sharing of ideas and information among people scattered around the world and thus helps in creating communities, groups, and virtual networks. Identification of personality is significant in many types of applications such as in detecting the mental state or character of a person, predicting job satisfaction, professional and personal relationship success, in recommendation systems. Personality is also an important factor to determine individual variation in thoughts, feelings, and conduct systems. According to the survey of Global social media research in 2018, approximately 3.196 billion social media users are in worldwide. The numbers are estimated to grow rapidly further with the use of mobile smart devices and advancement in technology. Support vector machine (SVM), Naive Bayes (NB), Multilayer perceptron neural network, and convolutional neural network (CNN) are some of the machine learning techniques used for personality identification in the literature review. This paper presents various studies conducted in identifying the personality of social media users with the help of machine learning approaches and the recent studies that targeted to predict the personality of online social media (OSM) users are reviewed
Shortest Route at Dynamic Location with Node Combination-Dijkstra Algorithm
Abstract— Online transportation has become a basic
requirement of the general public in support of all activities to go
to work, school or vacation to the sights. Public transportation
services compete to provide the best service so that consumers
feel comfortable using the services offered, so that all activities
are noticed, one of them is the search for the shortest route in
picking the buyer or delivering to the destination. Node
Combination method can minimize memory usage and this
methode is more optimal when compared to A* and Ant Colony
in the shortest route search like Dijkstra algorithm, but can’t
store the history node that has been passed. Therefore, using
node combination algorithm is very good in searching the
shortest distance is not the shortest route. This paper is
structured to modify the node combination algorithm to solve the
problem of finding the shortest route at the dynamic location
obtained from the transport fleet by displaying the nodes that
have the shortest distance and will be implemented in the
geographic information system in the form of map to facilitate
the use of the system.
Keywords— Shortest Path, Algorithm Dijkstra, Node
Combination, Dynamic Location (key words
Safety and Reliability - Safe Societies in a Changing World
The contributions cover a wide range of methodologies and application areas for safety and reliability that contribute to safe societies in a changing world. These methodologies and applications include: - foundations of risk and reliability assessment and management
- mathematical methods in reliability and safety
- risk assessment
- risk management
- system reliability
- uncertainty analysis
- digitalization and big data
- prognostics and system health management
- occupational safety
- accident and incident modeling
- maintenance modeling and applications
- simulation for safety and reliability analysis
- dynamic risk and barrier management
- organizational factors and safety culture
- human factors and human reliability
- resilience engineering
- structural reliability
- natural hazards
- security
- economic analysis in risk managemen
2007 Calendar - Postgraduate
844pp. Includes an Index of Academic Programs and an Index of Courses.Contains the academic program rules and syllabuses for all University of Adelaide postgraduate programs in 2007
2009 Calendar - Postgraduate
763pp. Includes an Index of Academic Programs and an Index of Courses.Contains academic program rules and syllabuses for all University of Adelaide postgraduate programs in 2009