Network-level multi-step road condition forecasting is an important step in accurate road maintenance planning, where correct maintenance activities are defined in place and time of road networks. Forecasting methods have developed from engineering models to non-linear machine learning methods that make use of the collected condition and traffic data of the road network. Least Squares Support V...

The state of roads may sometimes be difficult to perceive due intense climate conditions, absence road signs, or simply human inattention, which harmful both vehicles and drivers. automatic monitoring the states represents a promising solution warn drivers about status in order protect them from injuries accidents. In this paper, we present novel application for data collection regarding states...

• v ase s ort esti atio ite i teresti for S I • oice of critical si ce ay lea to ea i less SS sol tio • See artII for ex la atio o o to c oose ive Main References i Minimum Support ICA Using Order Statistics Part I: Quasi-Range Based Support Estimation Frédéric Vrins & Michel Verleysen Université catholique de Louvain – Machine Learning Group www.ucl.ac.be/mlg i i i i i : i i i r ri ri s i l rl...

THERE are a number of exciting implications coming out of research into the question of translating languages by machine. In order to appreciate these implications, it is necessary to understand a little of the background of the research itself. The world is divided into over four thousand language communities. Each of these communities speaks a language that is unintelligible to the others; th...

Several adaptation approaches have been proposed in an e ort to improve the speech recognition performance in mismatched conditions. However, the application of these approaches had been mostly constrained to the speaker or channel adaptation tasks. In this paper, we rst investigate the e ect of mismatched dialects between training and testing speakers in an Automatic Speech Recognition (ASR) s...

Most \weak" learning algorithms, including reinforcement learning methods, have been applied on tasks with single goals. The e ort to build more sophisticated learning systems that operate in complex environments will require the ability to handle multiple goals. Methods that allow transfer of learning will play a crucial role in learning systems that support multiple goals. In this paper I des...

This document describes the header compression mechanisms for IPsec [RFC4301] based on the encoding scheme standardized in [RFC6282]. The IPsec Authentication Header (AH) and Encapsulated Security Payload (ESP) headers are compressed using Next Header Compression (NHC) defined in [RFC6282]. This document does not invalidate any encoding schemes proposed in 6LoWPAN [RFC6282] but rather complemen...

This document specifies the Session Initiation Protocol (SIP) P-Refused-URI-List Private-Header (P-Header). This P-Header is used in the Open Mobile Alliance’s (OMA) Push to talk over Cellular (PoC) system. It enables URI-list servers to refuse the handling of incoming URI lists that have embedded URI lists. This P-Header also makes it possible for the URI-list server to inform the client about...

TCP/IP header compression has long been used to send information efficiently and to improve the response time of communication systems. It is also well known that errors on the link where header compression is used can deteriorate the performance. In addition, the recently noticed high frequency of some computer networking problems can make the performance of header compression even worse. Thes...

In this document we describe computational semantic lexicons and provide methodologies along with guidelines to acquire them This document is the result of many years of theoretical investigation on the structure of a computational lexicon entry for Natural Language Processing within a knowledge based framework and of a more recent massive e ort in the actual building of computational semantic ...