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Data from: Do rats learn conditional independence?
负责人:
Bowers, Robert Ian
关键词:
conditionality Markov Condition graphical models associative learning causal reasoning
DOI:
doi:10.5061/dryad.9b458
摘要:
the theoretical weight of the Markov condition in graphical models, and challenge theories to articulate the conditions under which animals are expected to learn
IPCC Climate Change Data: NIES99 A1a Model: 2050 Maximum Temperature
负责人:
关键词:
temperature climate global climate change
DOI:
doi:10.5063/aa/dpennington.274.2
摘要:
) after 1990. For sulphate aerosols, geographical distributions of sulphate loading for 1986 and 2050, which are estimated by a sulphur cycle model
IPCC Climate Change Data: NIES99 A1f Model: 2020 Minimum Temperature
负责人:
关键词:
temperature climate global climate change
DOI:
doi:10.5063/aa/dpennington.294.2
摘要:
) after 1990. For sulphate aerosols, geographical distributions of sulphate loading for 1986 and 2050, which are estimated by a sulphur cycle model
IPCC Climate Change Data: NIES99 A1f Model: 2050 Minimum Temperature
负责人:
关键词:
temperature climate global climate change
DOI:
doi:10.5063/aa/dpennington.295.1
摘要:
) after 1990. For sulphate aerosols, geographical distributions of sulphate loading for 1986 and 2050, which are estimated by a sulphur cycle model
IPCC Climate Change Data: NIES99 A1a Model: 2080 Maximum Temperature
负责人:
关键词:
temperature climate global climate change
DOI:
doi:10.5063/aa/dpennington.273.1
摘要:
) after 1990. For sulphate aerosols, geographical distributions of sulphate loading for 1986 and 2050, which are estimated by a sulphur cycle model
IPCC Climate Change Data: NIES99 A1f Model: 2050 Mean Temperature
负责人:
关键词:
temperature climate global climate change
DOI:
doi:10.5063/aa/dpennington.298.2
摘要:
) after 1990. For sulphate aerosols, geographical distributions of sulphate loading for 1986 and 2050, which are estimated by a sulphur cycle model
IPCC Climate Change Data: NIES99 A1t Model: 2080 Mean Temperature
负责人:
关键词:
temperature climate global climate change
DOI:
doi:10.5063/aa/dpennington.315.2
摘要:
) after 1990. For sulphate aerosols, geographical distributions of sulphate loading for 1986 and 2050, which are estimated by a sulphur cycle model
IPCC Climate Change Data: NIES99 A1f Model: 2020 Mean Temperature
负责人:
关键词:
temperature climate global climate change
DOI:
doi:10.5063/aa/dpennington.299.2
摘要:
) after 1990. For sulphate aerosols, geographical distributions of sulphate loading for 1986 and 2050, which are estimated by a sulphur cycle model
IPCC Climate Change Data: NIES99 A1a Model: 2080 Mean Temperature
负责人:
关键词:
temperature climate global climate change
DOI:
doi:10.5063/aa/dpennington.279.2
摘要:
) after 1990. For sulphate aerosols, geographical distributions of sulphate loading for 1986 and 2050, which are estimated by a sulphur cycle model
IPCC Climate Change Data: NIES99 A1f Model: 2020 Maximum Temperature
负责人:
关键词:
temperature climate global climate change
DOI:
doi:10.5063/aa/dpennington.293.2
摘要:
) after 1990. For sulphate aerosols, geographical distributions of sulphate loading for 1986 and 2050, which are estimated by a sulphur cycle model

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