1845 search results - page 106 / 369 » Machine-Learning Applications of Algorithmic Randomness |
ICASSP
2011
IEEE
13 years 1 months ago
2011
IEEE
Clustering is a basic task in a variety of machine learning applications. Partitioning a set of input vectors into compact, wellseparated subsets can be severely affected by the p...
HICSS
2003
IEEE
14 years 2 months ago
2003
IEEE
This paper describes a novel approach using Hidden Markov Models (HMM) to detect complex Internet attacks. These attacks consist of several steps that may occur over an extended pe...
ICIP
2008
IEEE
14 years 11 months ago
2008
IEEE
This paper introduces a novel way to leverage the implicit geometry of sparse local features (e.g. SIFT operator) for the purposes of object detection and segmentation. A two-clas...
AI
2002
Springer
13 years 9 months ago
2002
Springer
TD-Gammon is a neural network that is able to teach itself to play backgammon solely by playing against itself and learning from the results. Starting from random initial play, TD...
JMLR
2010
13 years 8 months ago
2010
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and differen...