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ICML
2008
IEEE
15 years 2 hour ago
Inverting the Viterbi algorithm: an abstract framework for structure design
act Framework For Structure Design Michael Schnall-Levin Massachusetts Institute of Technology Joint work with: Leonid Chindelevitch and Bonnie Berger
Michael Schnall-Levin, Leonid Chindelevitch, Bonni...
ICDM
2009
IEEE
172views Data Mining» more  ICDM 2009»
14 years 5 months ago
Sparse Least-Squares Methods in the Parallel Machine Learning (PML) Framework
—We describe parallel methods for solving large-scale, high-dimensional, sparse least-squares problems that arise in machine learning applications such as document classificatio...
Ramesh Natarajan, Vikas Sindhwani, Shirish Tatikon...
ICTAI
2007
IEEE
14 years 5 months ago
ExOpaque: A Framework to Explain Opaque Machine Learning Models Using Inductive Logic Programming
In this paper we developed an Inductive Logic Programming (ILP) based framework ExOpaque that is able to extract a set of Horn clauses from an arbitrary opaque machine learning mo...
Yunsong Guo, Bart Selman
CORR
2010
Springer
153views Education» more  CORR 2010»
13 years 11 months ago
GraphLab: A New Framework for Parallel Machine Learning
Designing and implementing efficient, provably correct parallel machine learning (ML) algorithms is challenging. Existing high-level parallel abstractions like MapReduce are insuf...
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny B...
WWW
2006
ACM
14 years 12 months ago
Browsing on small screens: recasting web-page segmentation into an efficient machine learning framework
Fitting enough information from webpages to make browsing on small screens compelling is a challenging task. One approach is to present the user with a thumbnail image of the full...
Shumeet Baluja