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» Minimization of an M-convex Function
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EMNLP
2009
13 years 7 months ago
Learning Term-weighting Functions for Similarity Measures
Measuring the similarity between two texts is a fundamental problem in many NLP and IR applications. Among the existing approaches, the cosine measure of the term vectors represen...
Wen-tau Yih
JMLR
2010
133views more  JMLR 2010»
13 years 4 months ago
Hierarchical Cost-Sensitive Algorithms for Genome-Wide Gene Function Prediction
In this work we propose new ensemble methods for the hierarchical classification of gene functions. Our methods exploit the hierarchical relationships between the classes in diffe...
Nicolò Cesa-Bianchi, Giorgio Valentini
ICASSP
2011
IEEE
13 years 28 days ago
SRF: Matrix completion based on smoothed rank function
In this paper, we address the matrix completion problem and propose a novel algorithm based on a smoothed rank function (SRF) approximation. Among available algorithms like FPCA a...
Hooshang Ghasemi, Mohmmadreza Malek-Mohammadi, Mas...
SODA
2010
ACM
163views Algorithms» more  SODA 2010»
14 years 6 months ago
Geometric optimization and sums of algebraic functions
We present a new optimization technique that yields the first FPTAS for several geometric problems. These problems reduce to optimizing a sum of non-negative, constant description...
Antoine Vigneron
ISMVL
2003
IEEE
125views Hardware» more  ISMVL 2003»
14 years 2 months ago
Compact Representations of Logic Functions using Heterogeneous MDDs
In this paper, we propose a compact representation of logic functions using Multi-valued Decision Diagrams (MDDs) called heterogeneous MDDs. In a heterogeneous MDD, each variable ...
Shinobu Nagayama, Tsutomu Sasao