A Performance Analysis Tool for Nokia Mobile Phone Software
Performance problems are often observed in embedded software systems. The reasons for poor performance are frequently not obvious. Bottlenecks can
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Learning for Adaptive Real-time Search
Real-time heuristic search is a popular model of acting and learning in intelligent autonomous agents. Learning real-time search agents improve
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Techniques for effective vocabulary selection
The vocabulary of a continuous speech recognition (CSR) system is a significant factor in determining its performance. In this paper,
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Securing Data in Storage: A Review of Current Research
Protecting data from malicious computer users continues to grow in importance. Whether preventing unauthorized access to personal photographs, ensuring compliance
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Computing Dialogue Acts from Features with Transformation-Based Learning
To interpret natural language at the discourse level, it is very useful to accurately recognize dialogue acts, such as SUGGEST,
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Entropy-based Pruning of Backoff Language Models
A criterion for pruning parameters from N-gram backoff language models is developed, based on the relative entropy between the original
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Coaxial p- and n-type carbon nanotube transistors with dopant-selective coatings
Carbon nanotube field-effect transistors (FETs) with passivated coaxial gate structures have been fabricated after growth of contacted suspended single wall
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Astronomical Research with liquid mirror telescopes
I discuss the modalities of zenith observing with LMTs, their limitations and advantages. The main limitation comes from the relatively
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Mining the Web for Lexical Knowledge to Improve Keyphrase Extraction: Learning from Labeled and Unlabeled Data
Keyphrases are useful for a variety of purposes, including summarizing, indexing, labeling, categorizing, clustering, highlighting, browsing, and searching. The task
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Maximum dispersion and geometric maximum weight cliques
We consider a facility location problem, where the objective is to ``disperse'' a number of facilities, i.e., select a given
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Combining a self-organising map with memory-based learning
Memory-based learning (MBL) has enjoyed considerable success in corpus-based natural language processing (NLP) tasks and is thus a reliable method
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Learning Analogies and Semantic Relations
We present an algorithm for learning from unlabeled text, based on the Vector Space Model (VSM) of information retrieval, that
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Corpus-based Learning of Analogies and Semantic Relations
We present an algorithm for learning from unlabeled text, based on the Vector Space Model (VSM) of information retrieval, that
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Materialized View Selection and Maintenance Using Multi-Query Optimization
Because the presence of views enhances query performance, materialized views are increasingly being supported by commercial database/data warehouse systems. Whenever
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