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We identify three programming language abstractions for the construction of re-usable components: abstract type members, explicit selftypes and symmetric mixin composition. Together, these abstractions enable us to transform an arbitrary assembly of static ...
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 ...
Virtual execution environments, such as the Java virtual machine, promote platform-independent software development. However, when it comes to analyzing algorithm complexity and performance bottlenecks, available tools focus on platform-specific metrics, s ...
We identify three programming language abstractions for the construction of re-usable components: abstract type members, explicit selftypes and symmetric mixin composition. Together, these abstractions enable us to transform an arbitrary assembly of static ...
We study efficient and robust implementations of an atomic read-write data structure over an asynchronous distributed message-passing system made of reader and writer processes, as well as failure prone server processes implementing the data structure. We ...
When interfacing Java with other systems such as databases, programmers must often program in special interface languages like SQL. Code written in these languages often needs to be embedded in strings where they cannot be error-checked at compile-time, or ...
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 ...
This paper introduces a discriminative model for the retrieval of images from text queries. Our approach formalizes the retrieval task as a ranking problem, and introduces a learning procedure optimizing a criterion related to the ranking performance. The ...
This paper introduces a discriminative model for the retrieval of images from text queries. Our approach formalizes the retrieval task as a ranking problem, and introduces a learning procedure optimizing a criterion related to the ranking performance. The ...
On-line services are making increasing use of dynamically generated Web content. Serving dynamic content is more complex than serving static content. Besides a Web server, it typically involves a server-side application and a database to generate and store ...
