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» Making inferences with small numbers of training sets
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ICPR
2002
IEEE
14 years 10 months ago
Object Detection in Images: Run-Time Complexity and Parameter Selection of Support Vector Machines
In this paper we address two aspects related to the exploitation of Support Vector Machines (SVM) for classification in real application domains, such as the detection of objects ...
Nicola Ancona, Grazia Cicirelli, Ettore Stella, Ar...
JAIR
2000
102views more  JAIR 2000»
13 years 8 months ago
A Model of Inductive Bias Learning
A major problem in machine learning is that of inductive bias: how to choose a learner's hypothesis space so that it is large enough to contain a solution to the problem bein...
Jonathan Baxter
CADE
2007
Springer
14 years 3 months ago
Semantic Selection of Premisses for Automated Theorem Proving
We develop and implement a novel algorithm for discovering the optimal sets of premisses for proving and disproving conjectures in first-order logic. The algorithm uses interpret...
Petr Pudlak
ICML
2007
IEEE
14 years 9 months ago
On the relation between multi-instance learning and semi-supervised learning
Multi-instance learning and semi-supervised learning are different branches of machine learning. The former attempts to learn from a training set consists of labeled bags each con...
Zhi-Hua Zhou, Jun-Ming Xu
IJCNLP
2005
Springer
14 years 2 months ago
Topic Tracking Based on Linguistic Features
This paper explores two linguistically motivated restrictions on the set of words used for topic tracking on newspaper articles: named entities and headline words. We assume that n...
Fumiyo Fukumoto, Yusuke Yamaji