544 search results - page 36 / 109 » Active Learning with Model Selection in Linear Regression |
ICML
2000
IEEE
14 years 9 months ago
2000
IEEE
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...
ICASSP
2011
IEEE
13 years 3 days ago
2011
IEEE
Solving linear regression problems based on the total least-squares (TLS) criterion has well-documented merits in various applications, where perturbations appear both in the data...
DIS
2006
Springer
14 years 10 days ago
2006
Springer
In supervised machine learning, variable ranking aims at sorting the input variables according to their relevance w.r.t. an output variable. In this paper, we propose a new relevan...
NN
2006
Springer
13 years 8 months ago
2006
Springer
Modular model is a particular type of committee machine and is comprised of a set of specialized (local) models each of which is responsible for a particular region of the input s...
BMCBI
2010
2010
KiDoQ: using docking based energy scores to develop ligand based model for predicting antibacterials
13 years 8 months ago
Background: Identification of novel drug targets and their inhibitors is a major challenge in the field of drug designing and development. Diaminopimelic acid (DAP) pathway is a u...