Titlebook: Neural Information Processing; 21st International C Chu Kiong Loo,Keem Siah Yap,Kaizhu Huang Conference proceedings 2014 Springer Internati

事物的方面

Takamitsu Araki,Hideitsu Hino,Shotaro Akahoearch to define real-number intelligence levels of complicated intelligent systems. Our agents are more idealized, which allows us to define a much simpler measure of intelligence level for them. In short, we define the intelligence level of a mechanical knowing agent to be the supremum of the compu

slipped-disk

Shuichi Kurogi,Takuya Ueki,Satoshi Takeguchi,Yuta Mizobeearch to define real-number intelligence levels of complicated intelligent systems. Our agents are more idealized, which allows us to define a much simpler measure of intelligence level for them. In short, we define the intelligence level of a mechanical knowing agent to be the supremum of the compu

野蠻

種植,培養(yǎng)

META

CYN

Hong Ji,Badong Chen,Zejian Yuan,Nanning Zheng,Andreas Keil,Jose C. Príncipeinformation flow (QIF) analyses quantify the amount of knowledge an attacker can gain on the secrets by observing the outputs. This paper presents a novel approach for calculating an upper bound for the leakage of confidential information in a program regarding min-entropy. The approach uses a data

抗生素

Yuki Ueyamaualitative properties, for example whether an intention completes. BDI-based systems, however, operate in uncertain environments with dynamic behaviours: we may need quantitative analysis to establish properties such as the probability of eventually completing an intention. We define a probabilistic

HALL

Xi Yang,Kaizhu Huang,Rui Zhangualitative properties, for example whether an intention completes. BDI-based systems, however, operate in uncertain environments with dynamic behaviours: we may need quantitative analysis to establish properties such as the probability of eventually completing an intention. We define a probabilistic

障礙

全國性