Unsupervised Learning for Information Distillation
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In the last decade, online social networks have enabled people to interact in many ways with each other and with content. The digital traces of such actions reveal people's preferences towards online content such as news or products. These traces often res ...
In this thesis, we explore the use of machine learning techniques for information retrieval. More specifically, we focus on ad-hoc retrieval, which is concerned with searching large corpora to identify the documents relevant to user queries. This identific ...
Automatic analysis of spoken conversations has recently searched for phenomena like agreement/disagreement in collaborative and non- conflictual discussions (e.g., meetings). This work adds a novel dimension investigating conflicts in spontaneous conversat ...
Symmetric cryptographic primitives such as block and stream ciphers are the building blocks in many cryptographic protocols. Having such blocks which provide provable security against various types of attacks is often hard. On the other hand, if possible, ...
In this thesis, we explore the use of machine learning techniques for information retrieval. More specifically, we focus on ad-hoc retrieval, which is concerned with searching large corpora to identify the documents relevant to user queries. This identific ...
Lightsolve is an innovative tool that offers architects and lighting engineers a goal-based simulation platform for daylighting performance evaluation in early stages of building design. Users can import their own 3D model and define their own design goals ...
Triple encryption was proposed to increase the security of single encryption when the key is too short. In the past, there have been several attacks in this encryption mode. When triple encryption is based on two keys, Merkle and Hellman proposed a subtle ...
People readily express their opinions about the various products, companies, TV shows etc., on Twitter. These tweet messages are thus a rich source of information that can be exploited to understand the sentiments about the concerned products or services. ...
In this thesis, we explore the use of machine learning techniques for information retrieval. More specifically, we focus on ad-hoc retrieval, which is concerned with searching large corpora to identify the documents relevant to user queries. Thisidentifica ...
Retrieving information from archived meetings is a new domain of information retrieval that has received increasing attention in the past few years. Search in spontaneous spoken conversations has been recognized as more difficult than text-based document r ...
