An Analogy Ontology for integrating analogical processing and first
... visual perception to problem solving, learning, and conceptual change [21]. Understanding how to integrate analogical processing into AI systems seems crucial to creating more human-like reasoning systems [12]. Yet similarity plays at best a minor role in many AI systems. Most AI systems operate on ...
... visual perception to problem solving, learning, and conceptual change [21]. Understanding how to integrate analogical processing into AI systems seems crucial to creating more human-like reasoning systems [12]. Yet similarity plays at best a minor role in many AI systems. Most AI systems operate on ...
Mini-V Fog Machine
... Fog Fluid, Rosco Clear, Stage & Studio and Light Fog Fluid. All Rosco fog and haze Fluids are unique water-based formulations that contain no petroleum distillates and are safe when used according to instructions. The operating temperature, pump pressure, and output nozzle of the Mini-V have been sp ...
... Fog Fluid, Rosco Clear, Stage & Studio and Light Fog Fluid. All Rosco fog and haze Fluids are unique water-based formulations that contain no petroleum distillates and are safe when used according to instructions. The operating temperature, pump pressure, and output nozzle of the Mini-V have been sp ...
Determination of Boiling Range of Xylene Mixed
... PX device is mainly the distillation method [1]. It's a ...
... PX device is mainly the distillation method [1]. It's a ...
May 2015 - TMA Associates
... “Machine learning” is being delivered as a and we have only 250,000 samples in each box Web service, with Amazon being the latest entry (assuming they are evenly distributed). Carry (p. 6). Such services seem to imply that a this forward to 20 variables, and there are 220 company can just ship data ...
... “Machine learning” is being delivered as a and we have only 250,000 samples in each box Web service, with Amazon being the latest entry (assuming they are evenly distributed). Carry (p. 6). Such services seem to imply that a this forward to 20 variables, and there are 220 company can just ship data ...
How to be creative
... Creativity is referred to the act of producing new and novel ideas. While innovation is referred to the act of producing a new and novel idea and the idea is applied in some specific context. ...
... Creativity is referred to the act of producing new and novel ideas. While innovation is referred to the act of producing a new and novel idea and the idea is applied in some specific context. ...
Dynamic Inertia Weight Binary Bat Algorithm with
... optimize these problems, such as unit commitment [1], feature selection [2, 3], task scheduling [4, 5], and 0-1 knapsack problem [6, 7], binary algorithms are proposed to generate binary solutions. For example, Mirjalili et al. [8] adapted the standard continuous BA algorithm to be applied to binary ...
... optimize these problems, such as unit commitment [1], feature selection [2, 3], task scheduling [4, 5], and 0-1 knapsack problem [6, 7], binary algorithms are proposed to generate binary solutions. For example, Mirjalili et al. [8] adapted the standard continuous BA algorithm to be applied to binary ...
Guided Local Search Joins the Elite in Discrete Optimisation 1
... Algorithm [Freisleben & Merz 1996] methods reported on TSP so far. One must be cautious when interpreting such empirical results as they could be affected by many factors, including implementation issues [Hooker 1995]. But given that the TSP is an extensively studied problem, it takes something spec ...
... Algorithm [Freisleben & Merz 1996] methods reported on TSP so far. One must be cautious when interpreting such empirical results as they could be affected by many factors, including implementation issues [Hooker 1995]. But given that the TSP is an extensively studied problem, it takes something spec ...
Explanation-Based Generalization: A Unifying View
... a description of the form in which the learned concept must be expressed) EBG can be instantiated for a wider variety of learning tasks. Finally, EBG provides a perspective for identifying the present limitations of explanation-basedgeneralization, and for identifying open research problems in this ...
... a description of the form in which the learned concept must be expressed) EBG can be instantiated for a wider variety of learning tasks. Finally, EBG provides a perspective for identifying the present limitations of explanation-basedgeneralization, and for identifying open research problems in this ...
Ten years research and the art of Chemometrics
... Chemometrics What is difficult in doing chemometrics is how to determine if a particular technique is appropriate for a given problem and how to properly interpret the results provided by that technique. This is what is called the “ art “ of chemometrics ...
... Chemometrics What is difficult in doing chemometrics is how to determine if a particular technique is appropriate for a given problem and how to properly interpret the results provided by that technique. This is what is called the “ art “ of chemometrics ...
The Hardest Random SAT Problems
... This rule has a non-deterministic choice of literal; this may a ect the number of pure, unit or binary rules applied but not the number of splits. In Figure 4 (a) we plot the mean ratios of the number of applications of the binary rule to splits and of the sum of the unit, pure and binary rules to s ...
... This rule has a non-deterministic choice of literal; this may a ect the number of pure, unit or binary rules applied but not the number of splits. In Figure 4 (a) we plot the mean ratios of the number of applications of the binary rule to splits and of the sum of the unit, pure and binary rules to s ...
Seven Challenges in Parallel SAT Solving
... may be considered inferior to a solver that performs efficiently, even if its speedup figure is smaller. We expect this will be the case for many software and hardware verification applications in the near future, where limited size clusters are used to verify designs overnight. In the second catego ...
... may be considered inferior to a solver that performs efficiently, even if its speedup figure is smaller. We expect this will be the case for many software and hardware verification applications in the near future, where limited size clusters are used to verify designs overnight. In the second catego ...
495-290 - wseas.us
... 1 Introduction Default Logic (DL) is one of the most prominent approaches for reasoning with incomplete information (cf. [14, 1, 7]). In such approaches, assumptions are made and can be retracted in the light of new evidence. In Default Reasoning (DR) [14] there is a reference to future partial stat ...
... 1 Introduction Default Logic (DL) is one of the most prominent approaches for reasoning with incomplete information (cf. [14, 1, 7]). In such approaches, assumptions are made and can be retracted in the light of new evidence. In Default Reasoning (DR) [14] there is a reference to future partial stat ...
MTH_4173-2
... The concepts of trigonometry studied in this course could be used to compare the operation of two telecommunications networks: one land-based and the other satellite-based. A comparative analysis will help adult learners recognize the impact of technological advances on economic development, in cont ...
... The concepts of trigonometry studied in this course could be used to compare the operation of two telecommunications networks: one land-based and the other satellite-based. A comparative analysis will help adult learners recognize the impact of technological advances on economic development, in cont ...
Evolutionary Connectionism and Mind/Brain Modularity - laral
... distinct specialized modules and they believe that this rich modularity is basically innate. Cognitivist modules are theoretical entities which are postulated in “boxes-and-arrows” models used to explain behavioral data. On the other hand, connectionists tend to think that the mind is a more homogen ...
... distinct specialized modules and they believe that this rich modularity is basically innate. Cognitivist modules are theoretical entities which are postulated in “boxes-and-arrows” models used to explain behavioral data. On the other hand, connectionists tend to think that the mind is a more homogen ...
Evolutionary Connectionism and Mind/Brain Modularity - laral
... distinct specialized modules and they believe that this rich modularity is basically innate. Cognitivist modules are theoretical entities which are postulated in “boxes-and-arrows” models used to explain behavioral data. On the other hand, connectionists tend to think that the mind is a more homogen ...
... distinct specialized modules and they believe that this rich modularity is basically innate. Cognitivist modules are theoretical entities which are postulated in “boxes-and-arrows” models used to explain behavioral data. On the other hand, connectionists tend to think that the mind is a more homogen ...
Chemical Analogies: Two Kinds of Explanation
... between elements. To limit the number of units formed, correspondences are only allowed between elements of the same basic type: propositions to propositions, n-place predicates to n-place predicates, and objects to objects. A C M E constructs units to represent all possible pairings of elements of ...
... between elements. To limit the number of units formed, correspondences are only allowed between elements of the same basic type: propositions to propositions, n-place predicates to n-place predicates, and objects to objects. A C M E constructs units to represent all possible pairings of elements of ...
Preliminary review / Publisher`s description: This self
... 1. The presentation of the materials is as friendly, simple and suggestive as possible, including many illustrative examples and historical notes about results, methods and applications. These notes show important contributions of Russian mathematicians to optimization and related topics that have b ...
... 1. The presentation of the materials is as friendly, simple and suggestive as possible, including many illustrative examples and historical notes about results, methods and applications. These notes show important contributions of Russian mathematicians to optimization and related topics that have b ...
Mobile Robot Path Planning in Static Environments using Particle
... to plan its motion and thereby move autonomously between two points for accomplishing different tasks. Given a robot start and goal position in a 2D environment cluttered with obstacles, the fundamental task of path planning is to generate a shortest path for a robot towards the goal point while avo ...
... to plan its motion and thereby move autonomously between two points for accomplishing different tasks. Given a robot start and goal position in a 2D environment cluttered with obstacles, the fundamental task of path planning is to generate a shortest path for a robot towards the goal point while avo ...
collective intelligence
... to pool their mental attitudes and skills as they realised that they could not respond to increasing environmental pressure by relying on their forces alone (Tomasello 2014). Since knowledge is distributed among, and shared by, individual agents whose cognitive abilities and rational faculties are b ...
... to pool their mental attitudes and skills as they realised that they could not respond to increasing environmental pressure by relying on their forces alone (Tomasello 2014). Since knowledge is distributed among, and shared by, individual agents whose cognitive abilities and rational faculties are b ...
a quantitative study of pruning by optimal brain
... 16, 17, 7]. Apart from the identi cation of more compact representations, signi cant improvements in performance have been obtained. The Optimal Brain Damage (OBD) scheme of Le Cun, Denker and Solla [12], stands out for its success in reducing the complexity of a well-trained network for identi cati ...
... 16, 17, 7]. Apart from the identi cation of more compact representations, signi cant improvements in performance have been obtained. The Optimal Brain Damage (OBD) scheme of Le Cun, Denker and Solla [12], stands out for its success in reducing the complexity of a well-trained network for identi cati ...
Axiomatic Tools versus Constructive approach to Unconventional
... algorithm, i.e., a universal Turing machine in this class. However, the class TT does not satisfy this axiom [9]. Analyzing the system of local logics, it is possible to see that there are different relations between them and it would be useful to combine these logics in a common structure. As it is ...
... algorithm, i.e., a universal Turing machine in this class. However, the class TT does not satisfy this axiom [9]. Analyzing the system of local logics, it is possible to see that there are different relations between them and it would be useful to combine these logics in a common structure. As it is ...
Medical Image Segmentation Using Artificial Neural Networks
... analysis applications developed for medical diagnosis. Development of treatment plans and evaluation of disease progression are other applications. These applications stem from the fact that diseases affect specific tissues or structures, lead to loss, atrophy (volume loss), and abnormalities. Conse ...
... analysis applications developed for medical diagnosis. Development of treatment plans and evaluation of disease progression are other applications. These applications stem from the fact that diseases affect specific tissues or structures, lead to loss, atrophy (volume loss), and abnormalities. Conse ...
Combination of LSTM and CNN for recognizing mathematical symbols
... 2 to 3 hours on NVIDIA Quadro K600 4GB GPU. ...
... 2 to 3 hours on NVIDIA Quadro K600 4GB GPU. ...
Adaptive Behavior - Server users.dimi.uniud.it
... neural networks for a hexapod robot (Beer, Chiel, & Sterling, 1991). Jakobi introduced the concept of minimal simulation not only to speed up the evolutionary process but also to bridge the gap between simulated and real environments. He applied this concept to evolve a controller for an octopod rob ...
... neural networks for a hexapod robot (Beer, Chiel, & Sterling, 1991). Jakobi introduced the concept of minimal simulation not only to speed up the evolutionary process but also to bridge the gap between simulated and real environments. He applied this concept to evolve a controller for an octopod rob ...