1845 search results - page 120 / 369 » Machine-Learning Applications of Algorithmic Randomness |
COLT
2004
Springer
14 years 3 months ago
2004
Springer
We consider the problem of learning a general graph using edge-detecting queries. In this model, the learner may query whether a set of vertices induces an edge of the hidden grap...
COLT
2003
Springer
14 years 2 months ago
2003
Springer
We propose a new formulation of the clustering problem that differs from previous work in several aspects. First, the goal is to explicitly output a collection of simple and meani...
SODA
2001
ACM
13 years 11 months ago
2001
ACM
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
HIS
2004
13 years 11 months ago
2004
Microarray data often contains multiple missing genetic expression values that degrade the performance of statistical and machine learning algorithms. This paper presents a K rank...
ICMLA
2007
13 years 11 months ago
2007
Dynamic programming is introduced to quantize a continuous random variable into a discrete random variable. Quantization is often useful before statistical analysis or reconstruct...