1209 search results - page 64 / 242 » Semi-Supervised Learning with Trees |
ACL
2011
12 years 11 months ago
2011
EVOW
2010
Springer
14 years 2 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
13 years 9 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
14 years 12 days 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
13 years 11 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...