Sciweavers

3716 search results - page 135 / 744
» On the monotonization of the training set
Sort
View
ICDM
2005
IEEE
122views Data Mining» more  ICDM 2005»
15 years 12 months ago
Learning through Changes: An Empirical Study of Dynamic Behaviors of Probability Estimation Trees
In practice, learning from data is often hampered by the limited training examples. In this paper, as the size of training data varies, we empirically investigate several probabil...
Kun Zhang, Zujia Xu, Jing Peng, Bill P. Buckles
ECCV
2004
Springer
15 years 11 months ago
Hand Pose Estimation Using Hierarchical Detection
This paper presents an analysis of the design of classifiers for use in a hierarchical object recognition approach. In this approach, a cascade of classifiers is arranged in a tr...
Bjoern Stenger, Arasanathan Thayananthan, Philip H...
AAAI
1994
15 years 7 months ago
Inductive Learning For Abductive Diagnosis
A new inductive learning system, Lab Learning for ABduction, is presented which acquires abductive rules from a set of training examples. The goal is to nd a small knowledge base ...
Cynthia A. Thompson, Raymond J. Mooney
CONNECTION
2004
71views more  CONNECTION 2004»
15 years 6 months ago
Lack of combinatorial productivity in language processing with simple recurrent networks
An astronomical set of sentences can be produced in natural language by combining relatively simple sentence structures with a human-size lexicon. These sentences are within the ra...
Frank van der Velde, Gwendid T. van der Voort van ...
COLING
2002
15 years 6 months ago
Unsupervised Named Entity Classification Models and their Ensembles
This paper proposes an unsupervised learning model for classifying named entities. This model uses a training set, built automatically by means of a small-scale named entity dicti...
Jae-Ho Kim, In-Ho Kang, Key-Sun Choi