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AAAI
2006
15 years 8 months ago
Anytime Induction of Decision Trees: An Iterative Improvement Approach
Most existing decision tree inducers are very fast due to their greedy approach. In many real-life applications, however, we are willing to allocate more time to get better decisi...
Saher Esmeir, Shaul Markovitch
ISNN
2005
Springer
16 years 6 days ago
A Learning Framework for Blind Source Separation Using Generalized Eigenvalues
This paper presents a learning framework for blind source separation (BSS), in which the BSS is formulated as generalized Eigenvalue (GE) problem. Compared to the typical informati...
Hailin Liu, Yiu-ming Cheung
SIGCSE
2004
ACM
94views Education» more  SIGCSE 2004»
16 years 4 days ago
Enhancing apprentice-based learning of Java
Various methods have been proposed in the past to improve student learning by introducing new styles of working with assignments. These include problem-based learning, use of case...
Michael Kölling, David J. Barnes
AAAI
1994
15 years 8 months ago
Learning to Reason
We introduce a new framework for the study of reasoning. The Learning (in order) to Reason approach developed here views learning as an integral part of the inference process, and ...
Roni Khardon, Dan Roth
EMNLP
2010
15 years 4 months ago
Learning the Relative Usefulness of Questions in Community QA
We present a machine learning approach for the task of ranking previously answered questions in a question repository with respect to their relevance to a new, unanswered referenc...
Razvan C. Bunescu, Yunfeng Huang