950 search results - page 134 / 190 » Training a Quantum Neural Network |
131
Voted
KDD
2004
ACM
16 years 3 months ago
2004
ACM
Abstract. We present a Context Ultra-Sensitive Approach based on two-step Recommender systems (CUSA-2step-Rec). Our approach relies on a committee of profile-specific neural networ...
147
Voted
GECCO
2007
Springer
15 years 9 months ago
2007
Springer
Opponent models are necessary in games where the game state is only partially known to the player, since the player must infer the state of the game based on the opponent’s acti...
142
Voted
CIBCB
2005
IEEE
15 years 5 months ago
2005
IEEE
— A fuzzy neural network (FNN) and multiple linear regression (MLR) were used to predict biological activities of 26 newly designed HIV-1 protease potential inhibitory compounds....
121
Voted
FOCI
2007
IEEE
15 years 10 months ago
2007
IEEE
— Backpropagation through time is a very popular discrete-time recurrent neural network training algorithm. However, the computational time associated with the learning process t...
131
Voted
COLING
1996
15 years 4 months ago
1996
We describe and experimentally evaluate a system, FeasPar, that learns parsing spontaneous speech. To train and run FeasPar (Feature Structure Parser), only limited handmodeled kn...