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ICML
2009
IEEE
15 years 9 months ago
Rule learning with monotonicity constraints
In classification with monotonicity constraints, it is assumed that the class label should increase with increasing values on the attributes. In this paper we aim at formalizing ...
Wojciech Kotlowski, Roman Slowinski
NIPS
2003
15 years 3 months ago
Multiple-Instance Learning via Disjunctive Programming Boosting
Learning from ambiguous training data is highly relevant in many applications. We present a new learning algorithm for classification problems where labels are associated with se...
Stuart Andrews, Thomas Hofmann
175
Voted
NAACL
2010
15 years 6 days ago
Dialogue-Oriented Review Summary Generation for Spoken Dialogue Recommendation Systems
In this paper we present an opinion summarization technique in spoken dialogue systems. Opinion mining has been well studied for years, but very few have considered its applicatio...
Jingjing Liu, Stephanie Seneff, Victor Zue
OTM
2005
Springer
15 years 7 months ago
Taking Advantage of LOM Semantics for Supporting Lesson Authoring
Abstract. Learning Object Metadata (LOM) is an interoperable standard focused on enabling the reuse of learning material for authoring lessons. Nevertheless, few work was done on t...
Olivier Motelet, Nelson A. Baloian
ICML
2007
IEEE
16 years 3 months ago
Adaptive dimension reduction using discriminant analysis and K-means clustering
We combine linear discriminant analysis (LDA) and K-means clustering into a coherent framework to adaptively select the most discriminative subspace. We use K-means clustering to ...
Chris H. Q. Ding, Tao Li