Sciweavers

213 search results - page 26 / 43
» Experiments with Learning Parsing Heuristics
Sort
View
IJCAI
1989
14 years 11 months ago
Selective Learning of Macro-operators with Perfect Causality
A macro-operator is an integrated operator consisting of plural primitive operators and enables a problem solver to solve more efficiently. However, if a learning system generates...
Seiji Yamada, Sabinro Tsuji
72
Voted
ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
15 years 4 months ago
Learning What Makes a Society Tick
We present a machine learning methodology (models, algorithms, and experimental data) to discovering the agent dynamics that drive the evolution of the social groups in a communit...
Hung-Ching Chen, Mark K. Goldberg, Malik Magdon-Is...
FGR
2006
IEEE
147views Biometrics» more  FGR 2006»
15 years 3 months ago
Learning Sparse Features in Granular Space for Multi-View Face Detection
In this paper, a novel sparse feature set is introduced into the Adaboost learning framework for multi-view face detection (MVFD), and a learning algorithm based on heuristic sear...
Chang Huang, Haizhou Ai, Yuan Li, Shihong Lao
EMNLP
2008
14 years 11 months ago
Learning with Compositional Semantics as Structural Inference for Subsentential Sentiment Analysis
Determining the polarity of a sentimentbearing expression requires more than a simple bag-of-words approach. In particular, words or constituents within the expression can interac...
Yejin Choi, Claire Cardie
ISCI
2008
124views more  ISCI 2008»
14 years 9 months ago
A weighted rough set based method developed for class imbalance learning
In this paper, we introduce weights into Pawlak rough set model to balance the class distribution of a data set and develop a weighted rough set based method to deal with the clas...
Jinfu Liu, Qinghua Hu, Daren Yu