This HTML5 document contains 202 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
n24http://cstk.sourceforge.net/
n22https://github.com/bit-player/
dctermshttp://purl.org/dc/terms/
dbohttp://dbpedia.org/ontology/
foafhttp://xmlns.com/foaf/0.1/
n9http://dbpedia.org/resource/File:
dbpedia-eshttp://es.dbpedia.org/resource/
n15http://pendicular.net/
n8https://global.dbpedia.org/id/
dbthttp://dbpedia.org/resource/Template:
rdfshttp://www.w3.org/2000/01/rdf-schema#
n25http://ccrg.cs.memphis.edu/
freebasehttp://rdf.freebase.com/ns/
n20http://urn.kb.se/resolve%3Furn=urn:nbn:se:ltu:
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
owlhttp://www.w3.org/2002/07/owl#
wikipedia-enhttp://en.wikipedia.org/wiki/
dbpedia-zhhttp://zh.dbpedia.org/resource/
dbphttp://dbpedia.org/property/
dbchttp://dbpedia.org/resource/Category:
provhttp://www.w3.org/ns/prov#
xsdhhttp://www.w3.org/2001/XMLSchema#
goldhttp://purl.org/linguistics/gold/
wikidatahttp://www.wikidata.org/entity/
dbrhttp://dbpedia.org/resource/
n21https://github.com/msbrogli/

Statements

Subject Item
dbr:Nearest_neighbor_search
dbo:wikiPageWikiLink
dbr:Sparse_distributed_memory
Subject Item
dbr:Memory-prediction_framework
dbo:wikiPageWikiLink
dbr:Sparse_distributed_memory
Subject Item
dbr:Sparse_distributed_memory
rdf:type
dbo:Person
rdfs:label
Memoria distribuida con baja densidad Sparse distributed memory 稀疏分布式存储器
rdfs:comment
La memoria distribuida con baja densidad es un modelo matemático de la memoria humana a largo plazo introducido por en 1988. Se utiliza para almacenar y recuperar grandes cantidades de información, sin centrarse en la exactitud de la información. Se utiliza patrones para servir como direcciones de memoria, donde se recupera la información basada en las similitudes entre las direcciones. Las direcciones de memoria están todos en una lista, incluso si no están relacionados, y se recuperan basado en contenido similar. Sparse distributed memory (SDM) is a mathematical model of human long-term memory introduced by Pentti Kanerva in 1988 while he was at NASA Ames Research Center. It is a generalized random-access memory (RAM) for long (e.g., 1,000 bit) binary words. These words serve as both addresses to and data for the memory. The main attribute of the memory is sensitivity to similarity, meaning that a word can be read back not only by giving the original write address but also by giving one close to it, as measured by the number of mismatched bits (i.e., the Hamming distance between memory addresses). 稀疏分布式存储器(Sparse Distributed Memory)1988年由彭蒂·卡内尔瓦发明的用来模拟人类长期记忆的数学模型。该模型被用来存储和索引巨大量(bits)的信息(不关注信息的准确性),它使用模式来作为,内容是通过地址的相似性来进行检索的。存储器地址全部在一个列表中,并且根据内容的相似性来进行检索。
dcterms:subject
dbc:Memory dbc:Cognitive_architecture
dbo:wikiPageID
33547203
dbo:wikiPageRevisionID
1121140027
dbo:wikiPageWikiLink
dbr:Steve_Furber dbr:Euclidean_space dbr:Neural_ensemble dbr:Sequence_memory dbr:Variance dbr:Turing_machines dbr:Robotics dbr:CMatie dbr:Biological_neuron_model dbr:Multiple_trace_theory dbr:Curse_of_dimensionality dbr:Axon dbr:Machine_learning dbr:Artificial_General_Intelligence dbr:Memory_networks dbr:Sphere dbr:Semantic_pointer_architecture n9:Exponential_decay_mechanism.svg dbr:Feedforward_neural_network dbr:Neuron dbr:Importance_sampling dbr:Connection_Machine dbr:Active_vision dbr:Binary_spatter_codes dbr:Nearest_neighbor_search dbr:Semantic_memory dbr:Decision_support_system dbr:Semantic_folding dbr:Java_(programming_language) dbr:Semantic_hashing dbr:Principal_component_analysis dbr:Associative_neural_memories dbr:Automorphism dbr:Universities_Space_Research_Association dbr:Recursive_auto-associative_memory dbr:Computer_vision dbc:Memory dbr:Joint_probability_distribution dbr:University_of_Memphis dbr:Signal_processing dbr:Artificial_consciousness dbr:Neuromorphic_engineering dbr:High-dimensional_space dbr:Function_approximation dbr:Conditional_probability dbr:Pentti_Kanerva dbr:C++ dbr:Sparse_coding dbr:Holographic_reduced_representation dbr:Stan_Franklin dbr:Locality-sensitive_hashing dbr:Genetic_algorithm dbr:Excitatory dbr:Normal_distribution dbr:Neurons dbr:Neural_coding dbr:Dynamic_memory_networks dbr:Science_(journal) dbr:Julia_(programming_language) dbr:SpiNNaker dbr:Prediction dbr:Random_indexing dbr:Semantic_network dbr:Language dbr:Low-density_parity-check_code dbr:Vector_space_model dbr:Exclusive_or dbr:Learning dbr:Euclidean_distance dbr:State_space dbr:Sigmoid_function dbr:APL_(programming_language) dbr:Bayesian_inference dbr:Content-addressable_memory dbr:Concept dbr:Genetic_memory_(computer_science) dbr:Memory_address dbr:Generalization_error dbr:Hierarchical_temporal_memory dbr:Associative_memory_(psychology) dbr:Virtual_memory dbr:Ames_Research_Center dbr:Computer_simulation dbr:Binomial_coefficient dbr:Dendrites dbr:Autoencoder dbr:Standard_deviation dbr:OpenCL dbr:Circumference dbr:Autoassociative_memory dbr:FPGA dbr:Human_Brain_Project dbr:Clustering_high-dimensional_data dbr:Memory-prediction_framework dbr:Brian_Hayes_(scientist) dbr:Long-term_memory dbr:NASA dbr:Speech_recognition dbr:University_of_Oxford n9:Negated_sigmoid_function.png dbr:Encoding_(memory) dbr:Self-organizing_map dbr:Computer_memory dbr:Hamming_distance dbr:Binary_search dbr:C_(programming_language) dbr:Python_(programming_language) dbr:GABAergic dbr:Mushroom_bodies dbr:LIDA_(cognitive_architecture) dbr:Lancaster_University dbr:Vector_symbolic_architecture dbr:Instance-based_learning dbr:Manifolds dbr:Correlation-matrix_memories dbc:Cognitive_architecture dbr:University_of_Manchester dbr:Memory dbr:Texas_Instruments dbr:Monte_Carlo_method dbr:Gero_Miesenböck dbr:Deep_learning dbr:Boolean_function dbr:Binomial_distribution dbr:Drosophila dbr:Cerebellar_model_articulation_controller dbr:Translation_(geometry) dbr:Luleå_University_of_Technology dbr:Brain dbr:Dana_H._Ballard dbr:Inhibitory dbr:Holographic_associative_memory dbr:Synapses dbr:Cognitive_architecture dbr:Neural_Turing_machine dbr:Olfactory_system dbr:Adaptive_control dbr:Random-access_memory dbr:Locality_sensitive_hashing dbr:Perceptron dbr:Kenyon_cell dbr:LISP dbr:Cognition
dbo:wikiPageExternalLink
n15:cbvs.php%3Cref%3E n20:diva-14994%7C n21:sdm%3Cref n21:sdm-framework%3Cref n22:sdm-julia n24:%3Cref%3EBerchtold, n25:framework.html
owl:sameAs
n8:4vGgh dbpedia-es:Memoria_distribuida_con_baja_densidad dbpedia-zh:稀疏分布式存储器 wikidata:Q7573790 freebase:m.0hgr2c0
dbp:wikiPageUsesTemplate
dbt:Clarify dbt:Cite_journal dbt:Snd dbt:Reflist
dbo:abstract
Sparse distributed memory (SDM) is a mathematical model of human long-term memory introduced by Pentti Kanerva in 1988 while he was at NASA Ames Research Center. It is a generalized random-access memory (RAM) for long (e.g., 1,000 bit) binary words. These words serve as both addresses to and data for the memory. The main attribute of the memory is sensitivity to similarity, meaning that a word can be read back not only by giving the original write address but also by giving one close to it, as measured by the number of mismatched bits (i.e., the Hamming distance between memory addresses). SDM implements transformation from logical space to physical space using distributed data representation and storage, similarly to encoding processes in human memory. A value corresponding to a logical address is stored into many physical addresses. This way of storing is robust and not deterministic. A memory cell is not addressed directly. If input data (logical addresses) are partially damaged at all, we can still get correct output data. The theory of the memory is mathematically complete and has been verified by computer simulation. It arose from the observation that the distances between points of a high-dimensional space resemble the proximity relations between concepts in human memory. The theory is also practical in that memories based on it can be implemented with conventional random-access memory elements. La memoria distribuida con baja densidad es un modelo matemático de la memoria humana a largo plazo introducido por en 1988. Se utiliza para almacenar y recuperar grandes cantidades de información, sin centrarse en la exactitud de la información. Se utiliza patrones para servir como direcciones de memoria, donde se recupera la información basada en las similitudes entre las direcciones. Las direcciones de memoria están todos en una lista, incluso si no están relacionados, y se recuperan basado en contenido similar. 稀疏分布式存储器(Sparse Distributed Memory)1988年由彭蒂·卡内尔瓦发明的用来模拟人类长期记忆的数学模型。该模型被用来存储和索引巨大量(bits)的信息(不关注信息的准确性),它使用模式来作为,内容是通过地址的相似性来进行检索的。存储器地址全部在一个列表中,并且根据内容的相似性来进行检索。
gold:hypernym
dbr:Model
prov:wasDerivedFrom
wikipedia-en:Sparse_distributed_memory?oldid=1121140027&ns=0
dbo:wikiPageLength
59884
foaf:isPrimaryTopicOf
wikipedia-en:Sparse_distributed_memory
Subject Item
dbr:Genetic_memory_(computer_science)
dbo:wikiPageWikiLink
dbr:Sparse_distributed_memory
Subject Item
dbr:Random_indexing
dbo:wikiPageWikiLink
dbr:Sparse_distributed_memory
Subject Item
dbr:Content-addressable_memory
dbo:wikiPageWikiLink
dbr:Sparse_distributed_memory
Subject Item
dbr:LIDA_(cognitive_architecture)
dbo:wikiPageWikiLink
dbr:Sparse_distributed_memory
Subject Item
dbr:Locality-sensitive_hashing
dbo:wikiPageWikiLink
dbr:Sparse_distributed_memory
Subject Item
dbr:Global_workspace_theory
dbo:wikiPageWikiLink
dbr:Sparse_distributed_memory
Subject Item
dbr:Hamming_distance
dbo:wikiPageWikiLink
dbr:Sparse_distributed_memory
Subject Item
dbr:Hierarchical_temporal_memory
dbo:wikiPageWikiLink
dbr:Sparse_distributed_memory
Subject Item
dbr:Cognitive_architecture
dbo:wikiPageWikiLink
dbr:Sparse_distributed_memory
Subject Item
dbr:Holographic_associative_memory
dbo:wikiPageWikiLink
dbr:Sparse_distributed_memory
Subject Item
dbr:Artificial_consciousness
dbo:wikiPageWikiLink
dbr:Sparse_distributed_memory
Subject Item
dbr:Sparse_Distributed_Memory
dbo:wikiPageWikiLink
dbr:Sparse_distributed_memory
dbo:wikiPageRedirects
dbr:Sparse_distributed_memory
Subject Item
dbr:Self-organizing_map
dbo:wikiPageWikiLink
dbr:Sparse_distributed_memory
Subject Item
dbr:Vector_space_model
dbo:wikiPageWikiLink
dbr:Sparse_distributed_memory
Subject Item
dbr:Neural_coding
dbo:wikiPageWikiLink
dbr:Sparse_distributed_memory
Subject Item
dbr:Pentti_Kanerva
dbo:wikiPageWikiLink
dbr:Sparse_distributed_memory
Subject Item
dbr:Semantic_memory
dbo:wikiPageWikiLink
dbr:Sparse_distributed_memory
Subject Item
dbr:Multiple_trace_theory
dbo:wikiPageWikiLink
dbr:Sparse_distributed_memory
Subject Item
dbr:Semantic_neural_network
dbo:wikiPageWikiLink
dbr:Sparse_distributed_memory
Subject Item
dbr:Semantic_network
dbo:wikiPageWikiLink
dbr:Sparse_distributed_memory
Subject Item
dbr:Types_of_artificial_neural_networks
dbo:wikiPageWikiLink
dbr:Sparse_distributed_memory
Subject Item
wikipedia-en:Sparse_distributed_memory
foaf:primaryTopic
dbr:Sparse_distributed_memory