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» Leveraging for Regression
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AAAI
2006
13 years 8 months ago
kFOIL: Learning Simple Relational Kernels
A novel and simple combination of inductive logic programming with kernel methods is presented. The kFOIL algorithm integrates the well-known inductive logic programming system FO...
Niels Landwehr, Andrea Passerini, Luc De Raedt, Pa...
COLING
2010
13 years 2 months ago
Estimating Linear Models for Compositional Distributional Semantics
In distributional semantics studies, there is a growing attention in compositionally determining the distributional meaning of word sequences. Yet, compositional distributional mo...
Fabio Massimo Zanzotto, Ioannis Korkontzelos, Fran...
JDCTA
2010
458views more  JDCTA 2010»
13 years 2 months ago
The Impact of Debt Financing on Firm Investment Behavior: Evidence from China
This study examines the impacts of debt financing on the firms' investment decisions by employing the method of the multiple linear regression on the data from 2006-2008 of 6...
Jiming Li, Chengqin Shi, ZhaoHua Wang
IROS
2008
IEEE
144views Robotics» more  IROS 2008»
14 years 1 months ago
Learning nonparametric policies by imitation
— A long cherished goal in artificial intelligence has been the ability to endow a robot with the capacity to learn and generalize skills from watching a human teacher. Such an ...
David B. Grimes, Rajesh P. N. Rao
ICDM
2008
IEEE
106views Data Mining» more  ICDM 2008»
14 years 1 months ago
Boosting Relational Sequence Alignments
The task of aligning sequences arises in many applications. Classical dynamic programming approaches require the explicit state enumeration in the reward model. This is often impr...
Andreas Karwath, Kristian Kersting, Niels Landwehr