募捐 9月15日2024 – 10月1日2024
关于筹款
书籍搜索
书
募捐:
25.6% 达到
登录
登录
访问更多功能
个人推荐
Telegram自动程序
下载历史
发送到电子邮件或 Kindle
管理书单
保存到收藏夹
个人的
书籍请求
探索
Z-Recommend
书单
最受欢迎
种类
贡献
捐款
上载
Litera Library
捐赠纸质书籍
添加纸质书籍
Search paper books
我的 LITERA Point
搜索关键词
Main
搜索关键词
search
1
Carnivorous Plants: Physiology, ecology, and evolution
OUP Oxford
Aaron Ellison
,
Lubomír Adamec
species
plants
carnivorous
prey
traps
nepenthes
pitcher
utricularia
drosera
figure
carnivory
pitchers
evolution
adamec
nutrient
sect
sarracenia
growth
aquatic
capture
ecology
pinguicula
t23.1
journal
fleischmann
dionaea
digestive
genlisea
studies
glands
ellison
fluid
nutrients
habitats
habitat
seeds
botany
biology
purpurea
uptake
surface
taylor
conservation
aldrovanda
sarraceniaceae
unpublished
populations
genome
juniper
morphology
年:
2018
语言:
english
文件:
PDF, 373.59 MB
您的标签:
0
/
0
english, 2018
2
Efficient computation of argumentation semantics
Academic Press is an imprint of Elsevier
Beishui Liao
argumentation
framework
arguments
frameworks
labelling
argument
preferred
rlvtf
labellings
extensions
eσ
admissible
layer
approach
computation
labelled
computing
stable
a10
sccs
figure
grounded
undec
partially
partial
attacks
conditioned
nodes
algorithm
systems
acceptable
approaches
algorithms
reasoning
defined
intelligence
artificial
abstract
assigned
proceedings
proposition
rrlvtf
ideal
trivial
unconditioned
global
affected
graph
f8.1
layers
年:
2014
语言:
english
文件:
PDF, 3.25 MB
您的标签:
0
/
0
english, 2014
3
Efficient Computation of Argumentation Semantics
Academic Press
Beishui Liao (Auth.)
argumentation
framework
arguments
frameworks
labelling
argument
preferred
rlvtf
labellings
extensions
eσ
admissible
layer
approach
computation
labelled
computing
stable
a10
sccs
figure
grounded
undec
partially
partial
attacks
conditioned
nodes
algorithm
systems
acceptable
approaches
algorithms
reasoning
defined
intelligence
artificial
abstract
assigned
proceedings
proposition
rrlvtf
ideal
trivial
unconditioned
global
affected
graph
f8.1
layers
年:
2014
语言:
english
文件:
PDF, 2.92 MB
您的标签:
0
/
0
english, 2014
1
按照
此链接
或在 Telegram 上找到“@BotFather”机器人
2
发送 /newbot 命令
3
为您的聊天机器人指定一个名称
4
为机器人选择一个用户名
5
从 BotFather 复制完整的最后一条消息并将其粘贴到此处
×
×