1209 search results - page 64 / 242 » Semi-Supervised Learning with Trees |
ACL
2011
14 years 1 months ago
2011
EVOW
2010
Springer
15 years 4 months ago
2010
Springer
We propose a novel distance based method for phylogenetic tree reconstruction. Our method is based on a conceptual clustering method that extends the well-known decision tree learn...
AAAI
2006
14 years 11 months ago
2006
The majority of the existing algorithms for learning decision trees are greedy--a tree is induced top-down, making locally optimal decisions at each node. In most cases, however, ...
ICTAI
1999
IEEE
15 years 2 months ago
1999
IEEE
This work deals with stability in incremental induction of decision trees. Stability problems arise when an induction algorithm must revise a decision tree very often and oscillat...
ECML
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...