
An Efficient Learning Procedure for Deep Boltzmann Machines
... 1. The performance is comparable with the best other single models, such as probabilistic matrix factorization. By averaging many models it is possible to do better and the two systems with the best performance on Netflix both use multiple RBMs among the many models that are averaged. ...
... 1. The performance is comparable with the best other single models, such as probabilistic matrix factorization. By averaging many models it is possible to do better and the two systems with the best performance on Netflix both use multiple RBMs among the many models that are averaged. ...
Scholarly Interest Report
... systems, and specification and verification of hardware and software ...
... systems, and specification and verification of hardware and software ...
here - Sogeti Labs
... natural that they are ‘pro-chat’. The same goes for Satya Nadella of Microsoft. After all, Microsoft is less successful in the app market and therefore less ‘pro-app minded’, and is now turning its mind to the bot market. At the same time we find that all major players ...
... natural that they are ‘pro-chat’. The same goes for Satya Nadella of Microsoft. After all, Microsoft is less successful in the app market and therefore less ‘pro-app minded’, and is now turning its mind to the bot market. At the same time we find that all major players ...
CV - Computer Science Intranet
... Lecturer, Department of Electronic Engineering at Queen Mary and Westfield College, University of London. March 1995 – September 1995 Research Fellow, Department of Electronic Engineering at Queen Mary and Westfield College, University of London. ...
... Lecturer, Department of Electronic Engineering at Queen Mary and Westfield College, University of London. March 1995 – September 1995 Research Fellow, Department of Electronic Engineering at Queen Mary and Westfield College, University of London. ...
Fuzzy Logic - Authentic Leadership Center
... Fuzzy set theory, the bedrock of fuzzy logic, was introduced by Lofti Zadeh in 1965. It was specifically designed to mathematically represent uncertainty and vagueness with formalized logical tools for dealing with the imprecision inherent in many real-world problems (Zadeh, 1965). Until this date, ...
... Fuzzy set theory, the bedrock of fuzzy logic, was introduced by Lofti Zadeh in 1965. It was specifically designed to mathematically represent uncertainty and vagueness with formalized logical tools for dealing with the imprecision inherent in many real-world problems (Zadeh, 1965). Until this date, ...
Machine Condition Monitoring Using Artificial Intelligence: The
... • AI being a computer technology is consistent and thorough. Natural intelligence is erratic because people are unpredictable, they do not perform consistently. • AI can be documented. Decisions or conclusions made by a computer system can be more easily documented by tracing the activities of the s ...
... • AI being a computer technology is consistent and thorough. Natural intelligence is erratic because people are unpredictable, they do not perform consistently. • AI can be documented. Decisions or conclusions made by a computer system can be more easily documented by tracing the activities of the s ...
Meinongian Semantics and Artificial Intelligence
... adequacy—the semantic representation must “precisely, formally, and unambiguously represent any particular interpretation that a human listener may place on a sentence”; translatability—“there must be an algorithm or procedure for translating the original sentence into this representation”; and inte ...
... adequacy—the semantic representation must “precisely, formally, and unambiguously represent any particular interpretation that a human listener may place on a sentence”; translatability—“there must be an algorithm or procedure for translating the original sentence into this representation”; and inte ...
How to Submit Proof Corrections Using Adobe Reader
... multi-modal and multi-objective optimization problems, traditional methods cannot always obtain even the reasonable solutions. In order to solve function optimization problems efficiently, many algorithms inspired by biological behavior are suggested recently. The study of biological phenomena is no ...
... multi-modal and multi-objective optimization problems, traditional methods cannot always obtain even the reasonable solutions. In order to solve function optimization problems efficiently, many algorithms inspired by biological behavior are suggested recently. The study of biological phenomena is no ...
Management Information Systems 6/e
... intelligence (AI) – the science of making machines imitate human thinking and behavior Robot – a mechanical device equipped with simulated human senses and the ability to take action on its own Artificial ...
... intelligence (AI) – the science of making machines imitate human thinking and behavior Robot – a mechanical device equipped with simulated human senses and the ability to take action on its own Artificial ...
Report on Artificial Intelligence and Human Society Unofficial
... In 1956, a proposal was made to consider various research on "thinking machines" as a new research horizon, "Artificial Intelligence (AI)," at the Dartmouth conference held at Dartmouth College in the United States of America. Research had previously been conducted on whether computers could be inve ...
... In 1956, a proposal was made to consider various research on "thinking machines" as a new research horizon, "Artificial Intelligence (AI)," at the Dartmouth conference held at Dartmouth College in the United States of America. Research had previously been conducted on whether computers could be inve ...
s 1 - UNL CSE
... Gottlob, G., Leone, N., Scarcello, F. : On Tractable Queries and Constraints. In: 10th International Conference and Workshop on Database and Expert System Applications (DEXA 1999). (1999) Decther, R.: Constraint Processing. Morgan Kaufmann (2003) Freuder, E.C.: A Sufficient Condition for Backtrack-B ...
... Gottlob, G., Leone, N., Scarcello, F. : On Tractable Queries and Constraints. In: 10th International Conference and Workshop on Database and Expert System Applications (DEXA 1999). (1999) Decther, R.: Constraint Processing. Morgan Kaufmann (2003) Freuder, E.C.: A Sufficient Condition for Backtrack-B ...
CS Accred Books - Kutztown University
... Made‐up minds : a constructivist approach to artificial intelligence / Gary L. Drescher. Knowledge processing and applied artificial intelligence / Soumitra Dutta Encyclopedia of artificial intelligence / Stuart C. Shapiro, editor in chief, David Eckroth, managing editor. Encyclopedia of artificial ...
... Made‐up minds : a constructivist approach to artificial intelligence / Gary L. Drescher. Knowledge processing and applied artificial intelligence / Soumitra Dutta Encyclopedia of artificial intelligence / Stuart C. Shapiro, editor in chief, David Eckroth, managing editor. Encyclopedia of artificial ...
Chapter 1 THE INFORMATION AGE IN WHICH YOU LIVE …
... 16 slides added Feb 2011 by Prof. Tim Richardson, University of Toronto ...
... 16 slides added Feb 2011 by Prof. Tim Richardson, University of Toronto ...
An Efficient Learning Procedure for Deep Boltzmann Machines
... well with a learning rate that is much larger than the obvious asymptotic analysis would allow. In an attempt to reduce the time required by the sampling process, Peterson and Anderson (1987) replaced Gibbs sampling with a simple mean-field method that approximates a stationary distribution by repla ...
... well with a learning rate that is much larger than the obvious asymptotic analysis would allow. In an attempt to reduce the time required by the sampling process, Peterson and Anderson (1987) replaced Gibbs sampling with a simple mean-field method that approximates a stationary distribution by repla ...
- MIT Press Journals
... well with a learning rate that is much larger than the obvious asymptotic analysis would allow. In an attempt to reduce the time required by the sampling process, Peterson and Anderson (1987) replaced Gibbs sampling with a simple mean-field method that approximates a stationary distribution by repla ...
... well with a learning rate that is much larger than the obvious asymptotic analysis would allow. In an attempt to reduce the time required by the sampling process, Peterson and Anderson (1987) replaced Gibbs sampling with a simple mean-field method that approximates a stationary distribution by repla ...
Fuzzy Genetic Algorithms
... Fuzzy logic and genetic algorithms during the last few years were rapidly progressed in the industrial world in order to solve effectively real-world problems. Fuzzy logic is applied to several fields like control theory or artificial intelligence The term “fuzzy logic” was introduced with fuzzy set ...
... Fuzzy logic and genetic algorithms during the last few years were rapidly progressed in the industrial world in order to solve effectively real-world problems. Fuzzy logic is applied to several fields like control theory or artificial intelligence The term “fuzzy logic” was introduced with fuzzy set ...
A Google-Proof Collection of French Winograd Schemas
... Since the anaphora in the WSC can only be resolved with world knowledge, working on Winograd Schemas is an excellent way to develop models with rich semantic representations. We decided to provide a first collection of French schemas to encourage the development of these types of model for the Frenc ...
... Since the anaphora in the WSC can only be resolved with world knowledge, working on Winograd Schemas is an excellent way to develop models with rich semantic representations. We decided to provide a first collection of French schemas to encourage the development of these types of model for the Frenc ...
From Natural Language to Soft Computing: New Paradigms
... by Dr. Dan Tufiş - director of Institute of Artificial Intelligence of Romanian Academy and Dr. Ioan Dziţac - Agora University of Oradea, and was addressed to the 30 participants, from Romania and other 6 countries, selected from over 100 participants at ICCCC 2008: scientific researchers, PhD and ...
... by Dr. Dan Tufiş - director of Institute of Artificial Intelligence of Romanian Academy and Dr. Ioan Dziţac - Agora University of Oradea, and was addressed to the 30 participants, from Romania and other 6 countries, selected from over 100 participants at ICCCC 2008: scientific researchers, PhD and ...
pre-print - School of Computer Science, University of Birmingham.
... The metaphorical quality of commonsense models of mind is extremely important, but is not the focus of the present article. My concentration is rather on their commonsensicality. I say more about metaphor in Barnden (1989), Barnden (1991), and Barnden (1992b). ...
... The metaphorical quality of commonsense models of mind is extremely important, but is not the focus of the present article. My concentration is rather on their commonsensicality. I say more about metaphor in Barnden (1989), Barnden (1991), and Barnden (1992b). ...
Heuristics for Planning with SAT
... why SAT solvers are successful in solving AI planning and related problems, and by the need and opportunity to develop more powerful, problem-specific heuristics for SAT. Our heuristic chooses action variables that contribute to the goals or (current) subgoals. The principle is extremely simple: for ...
... why SAT solvers are successful in solving AI planning and related problems, and by the need and opportunity to develop more powerful, problem-specific heuristics for SAT. Our heuristic chooses action variables that contribute to the goals or (current) subgoals. The principle is extremely simple: for ...
Full Dynamic Substitutability by SAT Encoding
... To evaluate the maximal encoding we compare it with the direct and support encodings on a set of binary CSPs. We use vertex colouring problems and a generalisation called bandwidth colouring, in which two adjacent vertices i and j cannot be assigned colours that are closer in value than a specified ...
... To evaluate the maximal encoding we compare it with the direct and support encodings on a set of binary CSPs. We use vertex colouring problems and a generalisation called bandwidth colouring, in which two adjacent vertices i and j cannot be assigned colours that are closer in value than a specified ...
AMC - Queen Mary University of London
... a distinction is drawn between three types of creative systems: those which are purely generative; those which contain internal or external feedback; and those which are capable of reflection and self-reflection. To address the evaluation of each of these aspects, concrete examples of methods and te ...
... a distinction is drawn between three types of creative systems: those which are purely generative; those which contain internal or external feedback; and those which are capable of reflection and self-reflection. To address the evaluation of each of these aspects, concrete examples of methods and te ...
Pickman`s Machine: A Reasoning Architecture Baki Cakici
... A definition of artificial intelligence and an introduction to earlier research is attempted in this chapter. This is not without its challenges; examples from various sources illustrate the diversity of opinion within the field: “Artificial intelligence is the design and study of computer programs ...
... A definition of artificial intelligence and an introduction to earlier research is attempted in this chapter. This is not without its challenges; examples from various sources illustrate the diversity of opinion within the field: “Artificial intelligence is the design and study of computer programs ...