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AAAI
2008
15 years 2 months ago
HTN-MAKER: Learning HTNs with Minimal Additional Knowledge Engineering Required
We describe HTN-MAKER, an algorithm for learning hierarchical planning knowledge in the form of decomposition methods for Hierarchical Task Networks (HTNs). HTNMAKER takes as inpu...
Chad Hogg, Héctor Muñoz-Avila, Ugur ...
DEXAW
2005
IEEE
133views Database» more  DEXAW 2005»
15 years 2 months ago
Inductive Databases: Towards a New Generation of Databases for Knowledge Discovery
Data mining applications are typically used in the decision making process. The Knowledge Discovery Process (KDD process for short) is a typical iterative process, in which not on...
Rosa Meo
104
Voted
IJCAI
1993
15 years 1 months ago
Reducing Ambiguity by Learning Assembly Specific Behaviour
In this paper we present a technique for automatically generating constraints on parameter derivatives that reduce ambiguity in the behaviour prediction. Starting with a behaviour...
Bert Bredeweg, Cis Schut
97
Voted
MICRO
2009
IEEE
137views Hardware» more  MICRO 2009»
15 years 7 months ago
ESKIMO: Energy savings using Semantic Knowledge of Inconsequential Memory Occupancy for DRAM subsystem
Dynamic Random Access Memory (DRAM) is used as the bulk of the main memory in most computing systems and its energy and power consumption has become a first-class design considera...
Ciji Isen, Lizy Kurian John
99
Voted
WEBI
2009
Springer
15 years 7 months ago
CCR: A Model for Sharing Reputation Knowledge Across Virtual Communities
Information sharing is a key objective in the age of Internet and virtual communities. Reputation information is an important part of a user’s identity and is both a sensitive a...
Tal Grinshpoun, Nurit Gal-Oz, Amnon Meisels, Ehud ...