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JMLR
2006
79views more  JMLR 2006»
9 years 11 months ago
Universal Kernels
In this paper we investigate conditions on the features of a continuous kernel so that it may approximate an arbitrary continuous target function uniformly on any compact subset o...
Charles A. Micchelli, Yuesheng Xu, Haizhang Zhang
JMLR
2006
113views more  JMLR 2006»
9 years 11 months ago
Learning the Structure of Linear Latent Variable Models
We describe anytime search procedures that (1) find disjoint subsets of recorded variables for which the members of each subset are d-separated by a single common unrecorded cause...
Ricardo Silva, Richard Scheines, Clark Glymour, Pe...
JMLR
2006
120views more  JMLR 2006»
9 years 11 months ago
Learning Parts-Based Representations of Data
Many perceptual models and theories hinge on treating objects as a collection of constituent parts. When applying these approaches to data, a fundamental problem arises: how can w...
David A. Ross, Richard S. Zemel
JMLR
2006
132views more  JMLR 2006»
9 years 11 months ago
Learning to Detect and Classify Malicious Executables in the Wild
We describe the use of machine learning and data mining to detect and classify malicious executables as they appear in the wild. We gathered 1,971 benign and 1,651 malicious execu...
Jeremy Z. Kolter, Marcus A. Maloof
JMLR
2006
78views more  JMLR 2006»
9 years 11 months ago
Learning Minimum Volume Sets
Given a probability measure P and a reference measure
Clayton Scott, Robert D. Nowak
JMLR
2006
78views more  JMLR 2006»
9 years 11 months ago
Inductive Synthesis of Functional Programs: An Explanation Based Generalization Approach
We describe an approach to the inductive synthesis of recursive equations from input/outputexamples which is based on the classical two-step approach to induction of functional Li...
Emanuel Kitzelmann, Ute Schmid
JMLR
2006
62views more  JMLR 2006»
9 years 11 months ago
Nonparametric Quantile Estimation
Ichiro Takeuchi, Quoc V. Le, Tim D. Sears, Alexand...
JMLR
2006
113views more  JMLR 2006»
9 years 11 months ago
Generalized Bradley-Terry Models and Multi-Class Probability Estimates
The Bradley-Terry model for obtaining individual skill from paired comparisons has been popular in many areas. In machine learning, this model is related to multi-class probabilit...
Tzu-Kuo Huang, Ruby C. Weng, Chih-Jen Lin
JMLR
2006
91views more  JMLR 2006»
9 years 11 months ago
QP Algorithms with Guaranteed Accuracy and Run Time for Support Vector Machines
We describe polynomial
Don R. Hush, Patrick Kelly, Clint Scovel, Ingo Ste...
JMLR
2006
89views more  JMLR 2006»
9 years 11 months ago
Lower Bounds and Aggregation in Density Estimation
In this paper we prove the optimality of an aggregation procedure. We prove lower bounds for aggregation of model selection type of M density estimators for the Kullback-Leibler d...
Guillaume Lecué
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