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A more effective way to train machines for uncertain, real-world situations（图）
训练机器 “学生”机器 算法 人工智能
2023/6/20
Someone learning to play tennis might hire a teacher to help them learn faster. Because this teacher is (hopefully) a great tennis player, there are times when trying to exactly mimic the teacher won’...
Imagine sitting on a park bench, watching someone stroll by. While the scene may constantly change as the person walks, the human brain can transform that dynamic visual information into a more stable...
2017网站天文观测台研讨会（Workshop on Web Observatories, Social Machines and Decentralisation）
网站天文观测台 研讨会
2017/3/31
Building upon the series of International "Web Observatories Workshops" (2013-2014) and the "Workshop on the Theory and Practice of Social Machines" (2013-2016), This workshop brings together particip...
2017年IEEE第25届国际现场可编程自定义计算机研讨会（2017 IEEE 25th Annual International Symposium on Field-Programmable Custom Computing Machines ）(FCCM)
2017年 IEEE 第25届 国际现场可编程自定义计算机 研讨会
2017/3/21
The IEEE Symposium on Field-Programmable Custom Computing Machines is the original and premier forum for presenting and discussing new research related to computing that exploits the unique features a...
Bounded Rationality of Restricted Turing Machines
bounded rationality repeated games restricted Turing machine
2016/1/22
Bounded rationality aims to understand the effects of how limited rationality affects decision-making. The traditional models in game theory and multiagent system research, such as finite automata or ...
Entering the blackboard jungle: canonical dysfunction in conscious machines
artificial intelligence autonomic computing cancer cognition consciousness information theory mental disorder
2015/7/30
The central paradigm of Artificial Intelligence is rapidly shifting toward biological models for both robotic devices and systems performing such critical tasks as network management and process contr...
Generalized Instruction Selector Generation: The Automatic Construction of Instruction Selectors from Descriptions of Compiler Internal Forms and Target Machines
Architecture Code Generation Compilers
2014/12/18
One of the most difficult tasks a compiler writer faces is the construction of the instruction selector. The instruction selector is that part of the compiler that translates compiler intermediate rep...
HOUSTON – (March 13, 2014) –Open, feed, cut. Such is the humdrum life of a motor molecule, the subject of new research at Rice University, that eats and excretes damaged proteins and turns them into h...
GA Based Heuristic to Minimize Makespan in Single Machine Scheduling Problem with Uniform Parallel Machines
Uniform Parallel Machines Genetic Algorithm Crossover Method Job Allocation Method
2013/1/28
This paper considers the single machine scheduling problem with uniform parallel machines in which the objective is to minimize the makespan. Four different GA based heuristics are designed by taking ...
Simulated Annealing Algorithm to Minimize Makespanin Single Machine Scheduling Problem withUniform Parallel Machines
Uniform Parallel Machines Measure of Performance Heuristic Simulated Annealing Algorithm ANOVA
2013/1/28
This paper presents a simulated annealing algorithm to minimize makespan of single machine scheduling problem with uniform parallel machines. The single machine scheduling problem with uniform paralle...
Literature Review of Single Machine Scheduling Problem with Uniform Parallel Machines
Uniform Parallel Machines Measure of Performance Heuristic Model Competitive Ratio
2013/1/29
This paper presents a survey of single machine scheduling problem with uniform parallel machines. The single machine scheduling problem with uniform parallel machines consists of n jobs, each with sin...
Design and Comparison of Simulated Annealing Algorithm and GRASP to Minimize Makespan in Single Machine Scheduling with Unrelated Parallel Machines
Makespan Simulated Annealing Algorithm GRASP Unrelated Parallel Machines Mathematical Model
2013/1/29
This paper discusses design and comparison of Simulated Annealing Algorithm and Greedy Randomized Adaptive Search Procedure (GRASP) to minimize the makespan in scheduling n single operation independen...
Intelligent Optimization Methods for High-Dimensional Data Classification for Support Vector Machines
Support Vector Machine (SVM) Genetic Algorithm (GA) Particle Swarm Optimization (PSO) Feature Selection Optimization
2013/1/29
Support vector machine (SVM) is a popular pattern classification method with many application areas. SVM shows its outstanding performance in high-dimensional data classification. In the process of cl...
Efficient Heuristic to Minimize Makespan in Single Machine Scheduling Problem with Unrelated Parallel Machines
Makespan Heuristic Unrelated Parallel Machines Mathematical Model ANOVA
2013/1/28
This paper discusses an efficient heuristic to minimize the makespan of scheduling n independent jobs on m unrelated parallel machines. The problem of scheduling the jobs on the unrelated parallel mac...
Introduction to use virtual reality visualisations in the exploitation and virtual testing of machines
Engineering design Virtual reality Simulation Virtual manuals
2010/2/9
Purpose: Purpose of this paper: Due to quick evolution of virtual reality systems, this technology is more often used in processes of prototype’s design. On the other hand it could be also effective i...