Titlebook: MICAI 2009: Advances in Artificial Intelligence; 8th Mexican Internat Arturo Hernández Aguirre,Raúl Monroy Borja,Carlos Conference proceed

咆哮

Inflammation

不合

完成才能战胜

Intelligent Aircraft Damage Assessment, Trajectory Planning, and Decision-Making under Uncertaintyion performance and adapt system behavior accordingly. This paper presents a hierarchical and decentralized approach for integrated damage assessment and trajectory planning in aircraft with uncertain navigational decision-making. Aircraft navigation can be safely accomplished by properly addressing

Noisome

大酒杯

From Semantic Roles to Temporal Information Representationheme has been adopted as standard for temporal information representation by a large number of researchers. There are few TimeML resources for languages other than English whereas there exist semantic roles annotated corpora and automatic labeling tools for several languages. The objective of this p

吵闹

Dependency Language Modeling Using KNN and PLSIible argument as in selectional preferences, as well as using both the verb and argument for predicting another argument. This latter causes a problem of data sparseness that must be solved by different techniques for data smoothing. Based on our results on the K-Nearest Neighbor model (KNN) algorit

织布机

讥笑

Using Nearest Neighbor Information to Improve Cross-Language Text Classificationguage. In addition to the expected translation issues, CLTC is also complicated by the cultural distance between both languages, which causes that documents belonging to the same category concern very different topics. This paper proposes a re-classification method which purpose is to reduce the err

ABYSS

Ranking Refinement via Relevance Feedback in Geographic Information Retrievallevant documents for geographic queries, but they have severe difficulties to generate a pertinent ranking of them. Motivated by these results in this paper we present a novel re-ranking method, which employs information obtained through a relevance feedback process to perform a .. Performed experim