Results 191 to 200 of about 13,591,386 (218)
Deep Reinforcement Learning for Dynamic Obstacle Avoidance of Mobile Robots in Indoor Environments: A Review. [PDF]
Sensors (Basel)Zhao J, Zhao H, Li B, Gong X.
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Communications in Computer and Information Science, 2009
We present a framework for SQL-based extraction of decision rules from data, with no need of retrieving massive amounts of rows from a database. We also explain how to design efficient methods for mining non-deterministic data, without any intermediate stages related to the analysis of undetermined values.
Dominik Slezak, Hiroshi Sakai
openaire +4 more sources
We present a framework for SQL-based extraction of decision rules from data, with no need of retrieving massive amounts of rows from a database. We also explain how to design efficient methods for mining non-deterministic data, without any intermediate stages related to the analysis of undetermined values.
Dominik Slezak, Hiroshi Sakai
openaire +4 more sources
Lecture Notes in Computer Science, 2010 We discuss two, in a sense extreme, kinds of nondeterministic rules in decision tables. The first kind of rules, called as inhibitory rules, are blocking only one decision value (i.e., they have all but one decisions from all possible decisions on their ...
Zbigniew Suraj +2 more
exaly +2 more sources
Stable rule extraction and decision making in rough non-deterministic information analysis
International Journal of Hybrid Intelligent Systems, 2011Rough Non-deterministic Information Analysis (RNIA) is a rough set-based data analysis framework for Non-deterministic Information Systems (NISs). RNIA-related algorithms and software tools developed so far for rule generation provide good characteristics of NISs and can be successfully applied to decision making based on non-deterministic data.
Hiroshi Sakai +3 more
openaire +1 more source