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COLT
2007
Springer
15 years 7 months ago
How Good Is a Kernel When Used as a Similarity Measure?
Recently, Balcan and Blum [1] suggested a theory of learning based on general similarity functions, instead of positive semi-definite kernels. We study the gap between the learnin...
Nathan Srebro
ECAI
2006
Springer
15 years 5 months ago
Efficient Knowledge Acquisition for Extracting Temporal Relations
Abstract. Machine learning approaches in natural language processing often require a large annotated corpus. We present a complementary approach that utilizes expert knowledge to o...
Son Bao Pham, Achim G. Hoffmann
ERSHOV
1999
Springer
15 years 5 months ago
Extensions: A Technique for Structuring Functional-Logic Programs
Abstract. Monads are a technique widely used in functional programming languages to address many different problems. This paper presents extensions, a functional-logic programming...
Rafael Caballero, Francisco Javier López-Fr...
ICML
2007
IEEE
16 years 2 months ago
Intractability and clustering with constraints
Clustering with constraints is a developing area of machine learning. Various papers have used constraints to enforce particular clusterings, seed clustering algorithms and even l...
Ian Davidson, S. S. Ravi
HIS
2007
15 years 2 months ago
Pareto-based Multi-Objective Machine Learning
—Machine learning is inherently a multiobjective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggreg...
Yaochu Jin