Titlebook: Algorithmic Learning Theory - ALT ‘92; Third Workshop, ALT Shuji Doshita,Koichi Furukawa,Toyaki Nishida Conference proceedings 1993 Spring

GLAZE

书目名称Algorithmic Learning Theory - ALT ‘92影响因子(影响力)




书目名称Algorithmic Learning Theory - ALT ‘92影响因子(影响力)学科排名




书目名称Algorithmic Learning Theory - ALT ‘92网络公开度




书目名称Algorithmic Learning Theory - ALT ‘92网络公开度学科排名




书目名称Algorithmic Learning Theory - ALT ‘92被引频次




书目名称Algorithmic Learning Theory - ALT ‘92被引频次学科排名




书目名称Algorithmic Learning Theory - ALT ‘92年度引用




书目名称Algorithmic Learning Theory - ALT ‘92年度引用学科排名




书目名称Algorithmic Learning Theory - ALT ‘92读者反馈




书目名称Algorithmic Learning Theory - ALT ‘92读者反馈学科排名

噱头

From inductive inference to algorithmic learning theory,ucing apparently “senseless” hypotheses can solve problems unsolvable by “reasonable” learning strategies) and learning from good examples (“much less” information can lead to much more learning power). Recently, it has been shown that these phenomena also hold in the world of polynomial-time algori

cringe

哥哥喷涌而出

On learning systolic languages,s a kind of network consisting of uniformly connected processors(finite automata)..In this article, we show that the class of binary systolic tree languages is learnable in polynomial time from the learning protocol what is called minimally adequate teacher..Since the class of binary systolic tree l

止痛药

A note on the query complexity of learning DFA,te — the query complexity — the number of membership and equivalence queries for learning deterministic finite automata. We first show two lower bounds in two different learning situations. Then we investigate the query complexity in general setting, and show some trade-off phenomenon between the nu

使人烦燥

Polynomial-time MAT learning of multilinear logic programs,. that the teacher has, with membership queries and equivalence queries. In the class of multilinear programs, we show some programs which have not been proved to be MAT learnable previously. If a multilinear program .. represents .. that the teacher has, then the total running time of our learning

GROSS

Iterative weighted least squares algorithms for neural networks classifiers,itly calculated for the network with only one neuron. It can be interpreted as a weighted covariance matrix of input vectors. A learning algorithm is presented on the basis of Fisher‘s scoring method. It is shown that the algorithm can be interpreted as iterations of weighted least square method. Th

Allure

incredulity

conservative