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ICML
2004
IEEE
14 years 10 months ago
The Bayesian backfitting relevance vector machine
Traditional non-parametric statistical learning techniques are often computationally attractive, but lack the same generalization and model selection abilities as state-of-the-art...
Aaron D'Souza, Sethu Vijayakumar, Stefan Schaal
MSWIM
2004
ACM
14 years 3 months ago
Quantile models for the threshold range for k-connectivity
This study addresses the problem of k-connectivity of a wireless multihop network consisting of randomly placed nodes with a common transmission range, by utilizing empirical regr...
Henri Koskinen
JMLR
2012
12 years 13 days ago
Algorithms for Learning Kernels Based on Centered Alignment
This paper presents new and effective algorithms for learning kernels. In particular, as shown by our empirical results, these algorithms consistently outperform the so-called uni...
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
NIPS
2007
13 years 11 months ago
Stability Bounds for Non-i.i.d. Processes
The notion of algorithmic stability has been used effectively in the past to derive tight generalization bounds. A key advantage of these bounds is that they are designed for spec...
Mehryar Mohri, Afshin Rostamizadeh
CASCON
2008
100views Education» more  CASCON 2008»
13 years 11 months ago
Is it a bug or an enhancement?: a text-based approach to classify change requests
Bug tracking systems are valuable assets for managing maintenance activities. They are widely used in open-source projects as well as in the software industry. They collect many d...
Giuliano Antoniol, Kamel Ayari, Massimiliano Di Pe...