2386 search results - page 464 / 478 » Representing and Reasoning with Preferences |
FLAIRS
2004
14 years 11 months ago
2004
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
SBBD
2004
14 years 11 months ago
2004
Multi-valued dependencies (MVDs) are an important class of constraints that is fundamental for relational database design. Although modern applications increasingly require the su...
IJCAI
2003
14 years 11 months ago
2003
There is controversy as to whether explicit support for PDDL-like axioms and derived predicates is needed for planners to handle real-world domains effectively. Many researchers h...
WSC
2004
14 years 11 months ago
2004
Using simulated data to develop and study diagnostic tools for data analysis is very beneficial. The user can gain insight about what happens when assumptions are violated since t...
AAAI
2000
14 years 11 months ago
2000
or cone, abstraction is chosen to represent a spectrum of user inputs/requirements that are narrowed, refined, and structured into a system design. User inputs require refinement f...