2363 search results - page 186 / 473 » Learning Algorithms for Domain Adaptation |
156
click to vote
ML
2000
ACM
15 years 2 months ago
2000
ACM
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
134
click to vote
JMLR
2010
14 years 10 months ago
2010
We present an algorithm name cSAT+ for learning the causal structure in a domain from datasets measuring different variable sets. The algorithm outputs a graph with edges correspo...
126
click to vote
TEC
2002
15 years 2 months ago
2002
The clonal selection principle is used to explain the basic features of an adaptive immune response to an antigenic stimulus. It establishes the idea that only those cells that rec...
127
click to vote
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes first-order logic and Markov networks. The current sta...
124
click to vote
AR
2007
15 years 3 months ago
2007
—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...