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AAAI
2007
13 years 9 months ago
A Robot That Uses Existing Vocabulary to Infer Non-Visual Word Meanings from Observation
The authors present TWIG, a visually grounded wordlearning system that uses its existing knowledge of vocabulary, grammar, and action schemas to help it learn the meanings of new ...
Kevin Gold, Brian Scassellati
VLDB
2001
ACM
82views Database» more  VLDB 2001»
13 years 12 months ago
Supporting Incremental Join Queries on Ranked Inputs
This paper investigates the problem of incremental joins of multiple ranked data sets when the join condition is a list of arbitrary user-defined predicates on the input tuples. ...
Apostol Natsev, Yuan-Chi Chang, John R. Smith, Chu...
ICDM
2010
IEEE
187views Data Mining» more  ICDM 2010»
13 years 5 months ago
Financial Forecasting with Gompertz Multiple Kernel Learning
Financial forecasting is the basis for budgeting activities and estimating future financing needs. Applying machine learning and data mining models to financial forecasting is both...
Han Qin, Dejing Dou, Yue Fang
AAAI
2008
13 years 9 months ago
Integrating Multiple Learning Components through Markov Logic
This paper addresses the question of how statistical learning algorithms can be integrated into a larger AI system both from a practical engineering perspective and from the persp...
Thomas G. Dietterich, Xinlong Bao
XIMEP
2006
ACM
188views Database» more  XIMEP 2006»
14 years 1 months ago
A Fully Pipelined XQuery Processor
We present a high-performance, pull-based streaming processor for XQuery, called XQPull, that can handle many essential features of the language, including general predicates, rec...
Leonidas Fegaras, Ranjan K. Dash, YingHui Wang