最 低 价：￥505.30
| The LNAI series reports state-of-the-art results in artificial intelligence re-search，development，and education，at a high level and in both printed and electronic form. Enjoying tight cooperation with the R＆D community，with numerous individuals，as well as with prestigious organizations and societies，LNAI has grown into the most comprehensive artificial intelligence research forum available. The scope of LNAI spans the whole range of artificial intelligence and intelli-gent information processing including interdisciplinary topics in a variety of application fields. The type of material published traditionally includes proceedings（published in time for the respective conference） post-proceedings（consisting of thoroughly revised final full papers） research monographs（which may be based on PhD work） |
| Invited Papers Parsing Without Grammar Rules Classification of Biological Sequences with Kernel Methods Regular Papers Identification in the Limit of Systematic-Noisy Languages Ten Open Problems in Grammatical Inference Polynomial-Time Identification of an Extension of Very Simple Grammars from Positive Data PAC-Learning Unambiguous NTS Languages Incremental Learning of Context Free Grammars by Bridging Rule Generation and Search for Semi-optimum Rule Sets Variational Bayesian Grammar Induction for Natural Language Stochastic Analysis of Lexical and Semantic Enhanced Structural Language Model Using Pseudo-stochastic Rational Languages in Probabilistic Grammatical Inference Learning Analysis by Reduction from Positive Data Inferring Grammars for Mildly Context Sensitive Languages in Polynomial-Time Planar Languages and Learnability A Unified Algorithm for Extending Classes of Languages Identifiable in the Limit from Positive Data Protein Motif Prediction by Grammatical Inference Grammatical Inference in Practice: A Case Study in the Biomedical Domain Inferring Grammar Rules of Programming Language Dialects The Tenjinno Machine Translation Competition Large Scale Inference of Deterministic Transductions: Tenjinno Problem 1 A Discriminative Model of Stochastic Edit Distance in the Form of a Conditional Transducer Learning n-Ary Node Selecting Tree Transducers from Completely Annotated Examples Learning Multiplicity Tree Automata …… Poster Papers Author Index |
内容加载中，请稍后...
商品评论（0条）