AIR
2004
13 years 4 months ago
2004
Real-world data is never perfect and can often suffer from corruptions (noise) that may impact interpretations of the data, models created from the data and decisions made based on...
AIR
2004
13 years 4 months ago
2004
This paper reviews the current state of the art in Natural Language Processing for Hebrew, both theoretical and practical. The Hebrew language, like other Semitic languages, poses...
AIR
2004
13 years 4 months ago
2004
: (Entemann 2002) defends fuzzy logic by pointing to what he calls `misconceptions' concerning fuzzy logic. However, some of these `misconceptions' are in fact truths, an...
AIR
2004
13 years 4 months ago
2004
The vehicle routing problems with time windows are challenging delivery problems in which instances involving 100 customers or more can be difficult to solve. There were many inter...
AIR
2004
13 years 4 months ago
2004
Abstract. Customer retention is an increasingly pressing issue in today's competitive environment. This paper proposes a personalized defection detection and prevention proced...
AIR
2004
13 years 4 months ago
2004
This paper presents an alternative to the `speech acts with STRIPS' approach to implementing dialogue: a fully implemented AI planner which generates and analyses the semantic...
AIR
2004
13 years 4 months ago
2004
Numerous temporal relations of verbal actions have been analysed in terms of various grammatical means of expressing verbal temporalisation such as tense, aspect, duration and iter...
AIR
2004
13 years 4 months ago
2004
Abstract. In this work we study an over-constrained scheduling problem where constraints cannot be relaxed. This problem originates from a local defense agency where activities to ...
AIR
2004
13 years 4 months ago
2004
Ensuring truthfulness amongst self-interested agents bidding against one another in an auction can be computationally expensive when prices are determined using the Vickrey-Clarke-...
AIR
2004
13 years 4 months ago
2004
Abstract. Outlier detection has been used for centuries to detect and, where appropriate, remove anomalous observations from data. Outliers arise due to mechanical faults, changes ...