COLT
2010
Springer
13 years 7 months ago
2010
Springer
Clustering is a central unsupervised learning task with a wide variety of applications. Not surprisingly, there exist many clustering algorithms. However, unlike classification ta...
CIKM
2010
Springer
13 years 7 months ago
2010
Springer
We present a flexible new optimization framework for finding effective, reliable pseudo-relevance feedback models that unifies existing complementary approaches in a principled wa...
CIAC
2010
Springer
13 years 7 months ago
2010
Springer
CEC
2010
IEEE
13 years 7 months ago
2010
IEEE
This paper focuses on the application of a new ACO-based automatic programming algorithm to the classification task of data mining. This new model, called GBAP algorithm, is based ...
CASES
2010
ACM
13 years 7 months ago
2010
ACM
We present a fine-grain dynamic instruction placement algorithm for small L0 scratch-pad memories (spms), whose unit of transfer can be an individual instruction. Our algorithm ca...
BMVC
2010
13 years 7 months ago
2010
In this paper, we propose a framework for predicting the performance of a vision algorithm given the input image or video so as to maximize the algorithm's ability to provide...
BMVC
2010
13 years 7 months ago
2010
We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be...
ANTSW
2010
Springer
13 years 7 months ago
2010
Springer
We introduce a novel multi-agent patrolling strategy. By assumption, the swarm of agents performing the task consists of very low capability ant-like agents. The agents have littl...
ACL
2010
13 years 7 months ago
2010
We present the S-Space Package, an open source framework for developing and evaluating word space algorithms. The package implements well-known word space algorithms, such as LSA,...
ACL
2010
13 years 7 months ago
2010
Various text mining algorithms require the process of feature selection. High-level semantically rich features, such as figurative language uses, speech errors etc., are very prom...