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2Improving Object Detection Performance with Genetic Programming
M. Zhang. International Journal on Artificial Intelligence Tools, 16 (5): 849--873 (October 2007)
17 years ago by @brazovayeye
show all tags
algorithms,
fitness
function,
genetic
learning,
networks
neural
object
program
programming,
recognition,
size,
target
two-phase
algorithms,fitnessfunction,geneticlearning,networksneuralobjectprogramprogramming,recognition,size,targettwo-phase
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2Crossover Context in Page-based Linear Genetic Programming
G. Wilson, and M. Heywood. IEEE CCECE 2002: IEEE Canadian Conference on Electrical and Computer Engineering, 2, page 809--814. IEEE Press, (12-15 May 2002)
17 years ago by @brazovayeye
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(artificial
Learning,
Mateo
San
Strategy
algorithms,
ants,
artificial
based
change,
code
crossover
effective
fitness
genetic
instructions,
intelligence),
learning
memories,
operator,
problems,
programming,
register
search
sequences,
simple
strategies,
strategy
trail,
(artificialLearning,MateoSanStrategyalgorithms,ants,artificialbasedchange,codecrossovereffectivefitnessgeneticinstructions,intelligence),learningmemories,operator,problems,programming,registersearchsequences,simplestrategies,strategytrail,
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1Anti-correlation: A Diversity Promoting Mechanisms in Ensemble Learning
R. McKay, and H. Abbass. The Australian Journal of Intelligent Information Processing Systems, 7 (3/4): 139--149 (2001)
17 years ago by @brazovayeye
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Anticorrelation,
Artificial
Ensemble
Networks,
Neural
algorithms,
committee
diversity
fitness
genetic
learning,
programming,
sharing,
Anticorrelation,ArtificialEnsembleNetworks,Neuralalgorithms,committeediversityfitnessgeneticlearning,programming,sharing,
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1Genetic programming-based Alife techniques for evolving collective robotic intelligence
D. Cho, and B. Zhang. Proceedings 4th International Symposium on Artificial Life and Robotics, page 236--239. B-Con Plaza, Beppu, Oita, Japan, (19-22 January 1999)
17 years ago by @brazovayeye
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algorithms,
artificial
data
fitness
genetic
learning,
life,
multiagent
programming,
selection
switching,
training
algorithms,artificialdatafitnessgeneticlearning,life,multiagentprogramming,selectionswitching,training
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1Knowledge-intensive genetic discovery in foreign exchange markets
S. Bhattacharyya, O. Pictet, and G. Zumbach. IEEE Transactions on Evolutionary Computation, 6 (2): 169--181 (April 2002)
17 years ago by @brazovayeye
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(artificial
algorithms,
arithmetic
comparison
criteria,
data
decision
discovery,
domain-related
exchange
financial
fitness
foreign
genetic
high-frequency
indicator
intelligence),
knowledge
knowledge-intensive
learning
learning,
logical
machine
markets,
mathematical
measure,
mining,
model
operators,
optimisation
performance,
processing,
programming,
properties,
representation,
restrictions,
return
risk-adjusted
robust
semantic
specification
structuring,
symmetry
symmetry,
trading
trading,
types,
(artificialalgorithms,arithmeticcomparisoncriteria,datadecisiondiscovery,domain-relatedexchangefinancialfitnessforeigngenetichigh-frequencyindicatorintelligence),knowledgeknowledge-intensivelearninglearning,logicalmachinemarkets,mathematicalmeasure,mining,modeloperators,optimisationperformance,processing,programming,properties,representation,restrictions,returnrisk-adjustedrobustsemanticspecificationstructuring,symmetrysymmetry,tradingtrading,types,
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2Off-Line Evolution of Behaviour for Autonomous Agents in Real-Time Computer Games
E. Anderson. Parallel Problem Solving from Nature - PPSN VII, 2439, page 689--699. Granada, Spain, Springer-Verlag, (7-11 September 2002)
17 years ago by @brazovayeye
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Evaluation
Fitness
Games,
Learning,
Machine
algorithms,
genetic
programming,
EvaluationFitnessGames,Learning,Machinealgorithms,geneticprogramming,
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2Improving Object Detection Performance with Genetic Programming

2Crossover Context in Page-based Linear Genetic Programming

1Anti-correlation: A Diversity Promoting Mechanisms in Ensemble Learning

1Genetic programming-based Alife techniques for evolving collective robotic intelligence

1Knowledge-intensive genetic discovery in foreign exchange markets

2Off-Line Evolution of Behaviour for Autonomous Agents in Real-Time Computer Games

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