ML
2000
ACM
13 years 9 months ago
2000
ACM
This work focuses on algorithms which learn from examples to perform multiclass text and speech categorization tasks. Our approach is based on a new and improved family of boosting...
ML
2000
ACM
13 years 9 months ago
2000
ACM
Twenty-two decision tree, nine statistical, and two neural network algorithms are compared on thirty-two datasets in terms of classification accuracy, training time, and (in the ca...
JCO
2000
13 years 9 months ago
2000
We consider the problem of off-line throughput maximization for job scheduling on one or more machines, where each job has a release time, a deadline and a profit. Most of the ver...
JCB
2000
13 years 9 months ago
2000
For aligning DNA sequences that differ only by sequencing errors, or by equivalent errors from other sources, a greedy algorithm can be much faster than traditional dynamic progra...
JAR
2000
13 years 9 months ago
2000
The paper compares two popular strategies for solving propositional satis ability, backtracking search and resolution, and analyzes the complexity of a directional resolution algo...
JAR
2000
13 years 9 months ago
2000
Local search algorithms are among the standard methods for solving hard combinatorial problems from various areas of Artificial Intelligence and Operations Research. For SAT, some ...
JACM
2000
13 years 9 months ago
2000
A deterministic algorithm for computing a minimum spanning tree of a connected graph is presented. Its running time is O(m (m, n)), where is the classical functional inverse of Ack...
IWC
2000
13 years 9 months ago
2000
Information visualisation systems which generate diagrams representing discrete relational information must consider potential users if they are to be effective. Many algorithms w...
INFORMATICALT
2000
13 years 9 months ago
2000
An original algorithm for transformation of finite automata to regular expressions is presented. This algorithm is based on effective graph algorithms and gives a transparent new p...
IJON
2000
13 years 9 months ago
2000
A general problem in model selection is to obtain the right parameters that make a model "t observed data. For a multilayer perceptron (MLP) trained with back-propagation (BP...