- One protein is all you need
2024/11/04 by Anton Bushuiev, Bushuiev, Anton, Roman Bushuiev +24 · 3 voices
Biochemistry, Genetics and Molecular Biology · Chemistry · Computer Science · #Advanced Proteomics Techniques and Applications #Artificial intelligence #Biology #Computer science #Ecology #Evolutionary biology #Fitness function #Function (biology) #Genetic algorithm #Machine learning #Physics #Protein structure #Protein structure prediction #Test (biology) #Training (meteorology) #cs.LG #q-bio.BM
- Interpretation issues with “genomic vulnerability” arise from conceptual issues in local adaptation and maladaptation
2024/02/08 by Katie E. Lotterhos · 1 voice · 26 citations
Agricultural and Biological Sciences · Biochemistry, Genetics and Molecular Biology · Environmental Science · #Adaptation (eye) #Animal Behavior and Reproduction #Artificial intelligence #Biology #Climate change #Computer science #Demography #Ecology #Environmental resource management #Environmental science #Evolution and Genetic Dynamics #Fitness approximation #Fitness function #Fitness landscape #Genetic Fitness #Genetic algorithm #Local adaptation #Machine learning #Maladaptation #Offset (computer science) #Population #Selection (genetic algorithm) #Sociology #Species Distribution and Climate Change #Vulnerability (computing)
- PathNet: Evolution Channels Gradient Descent in Super Neural Networks
2017/01/30 by Chrisantha Fernando, Dylan Banarse, Fernando, Chrisantha +14 · 3 voices · 127 citations
Computer Science · Engineering · #Advanced Memory and Neural Computing #Artificial intelligence #Artificial neural network #Computer science #Fitness function #Genetic algorithm #MNIST database #Machine learning #Neural Networks and Applications #Population #Reinforcement Learning in Robotics #Reinforcement learning #Task (project management) #cs.LG #cs.NE
- Bayesian Optimization with Dimension Scheduling: Application to\n Biological Systems
2015/11/17 by Doniyor Ulmasov, Caroline Baroukh, Ulmasov, Doniyor +8 · 1 citation
Computer Science · Mathematics · #Advanced Multi-Objective Optimization Algorithms #Algorithm #Approximate Bayesian computation #Artificial Intelligence (cs.AI) #Artificial intelligence #Bayesian optimization #Bayesian probability #Computation #Computer science #Context (archaeology) #Convergence (economics) #Dimension (graph theory) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #FOS: Mathematics #Fitness function #Genetic algorithm #Global optimization #Key (lock) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Machine learning #Mathematical optimization #Mathematics #Metaheuristic Optimization Algorithms Research #Optimization and Control (math.OC) #Scheduling (production processes) #Set (abstract data type) #cs.AI #cs.LG #math.OC #stat.ML
- Experimental illumination of a fitness landscape
2011/04/04 by Ryan T. Hietpas, Jeffrey D. Jensen, Daniel N. Bolon · 2 citations
Biochemistry, Genetics and Molecular Biology · #Biology #Computer science #Evolution and Genetic Dynamics #Evolutionary biology #Fitness function #Fitness landscape #Fungal and yeast genetics research #Gene #Genetic Fitness #Genetic algorithm #Genetics #Heat shock proteins research #Molecular evolution #Mutant #Mutation #Neutral mutation #Neutral theory of molecular evolution #Phylogenetics #Population #Sequence (biology)
- Acquiring Textual Relations Automatically on the Web Using Genetic Programming
2000/01/01 by Agneta Bergström, Patricija Jaksetic, Peter Nordin · 1 citation
Computer Science · #Artificial intelligence #Computer science #Data mining #Evolutionary Algorithms and Applications #Fitness function #Genetic algorithm #Genetic programming #Information extraction #Information retrieval #Machine learning #Natural Language Processing Techniques #Natural language processing #Parsing #Programming language #Prolog #Relation (database) #Topic Modeling #World Wide Web
- Adaptive probabilities of crossover and mutation in genetic algorithms
1994/04/01 by M. Srinivas, Madana Srinivas, L.M. Patnaik · 45 citations
Computer Science · Mathematics · #Adaptive mutation #Advanced Multi-Objective Optimization Algorithms #Algorithm #Artificial intelligence #Biology #Combinatorics #Computer science #Convergence (economics) #Crossover #Discrete mathematics #Evolutionary Algorithms and Applications #Fitness function #Genetic algorithm #Genetics #Machine learning #Mathematical optimization #Mathematics #Metaheuristic Optimization Algorithms Research #Mutation #Operator (biology) #Population #Schema (genetic algorithms)
- Stationary mutant distributions and evolutionary optimization
1988/11/01 by Peter Schuster, Jörg Swetina · 6 citations
Agricultural and Biological Sciences · Biochemistry, Genetics and Molecular Biology · Mathematics · Social Sciences · #Artificial intelligence #Biology #Combinatorics #Computer science #Discrete mathematics #Evolution and Genetic Dynamics #Evolutionary Game Theory and Cooperation #Fitness function #Function (biology) #Gene #Genetic algorithm #Genetics #Hamming distance #Mathematical optimization #Mathematics #Mutation rate #Physics #Plant and animal studies #Replication (statistics) #Selection (genetic algorithm) #Sequence (biology) #Sequence space #Statistical physics #Statistics #Viral quasispecies