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INFFUS
2007
88views more  INFFUS 2007»
15 years 21 days ago
A progressive query language and interactive reasoner for information fusion support
Previous approaches in query processing do not consider queries to automatically combine results obtained from different information sources, i.e. they do not support information...
Shi-Kuo Chang, Erland Jungert, Xin Li
ICML
1999
IEEE
15 years 5 months ago
Learning Hierarchical Performance Knowledge by Observation
Developing automated agents that intelligently perform complex real world tasks is time consuming and expensive. The most expensive part of developing these intelligent task perfo...
Michael van Lent, John E. Laird
119
Voted
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
16 years 1 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
FOCS
2006
IEEE
15 years 6 months ago
Hardness of Learning Halfspaces with Noise
Learning an unknown halfspace (also called a perceptron) from labeled examples is one of the classic problems in machine learning. In the noise-free case, when a halfspace consist...
Venkatesan Guruswami, Prasad Raghavendra
120
Voted
LLL
1999
Springer
15 years 5 months ago
Learning to Lemmatise Slovene Words
Abstract. Automatic lemmatisation is a core application for many language processing tasks. In inflectionally rich languages, such as Slovene, assigning the correct lemma to each ...
Saso Dzeroski, Tomaz Erjavec