… One of the goals of AC is modeling the affective content of various sources such as music,
face, body language, and speech via mathematical methods. A recognition approach is often …

… , we will describe an effective inference for LDA model named … The latter in Mahout takes
days to infer for large corpus, while … In Section3, we show the performance of our program and …

… processes which consist of Related knowledge class modeling process, Frame-based
knowledge representation process … In this section, we only focus on how to inference using those …

… techniques with an AI inspired representation of state. The … BR is the agent’s Belief Rule
Set, each of which is an inference … The CSP language, its mathematical foundations and its …

… From the first sentence pair, we can infer that the reason for the contradiction label is that …
Then the updated node representations are used for enhancing the token representations in …

This study explored how mothers attributed children’s distress and its relation to maternal
comforting behavior. The participants were forty-three mothers and their second-grade children …

… First, these studies are correlational in nature, and it is difficult to infer causal relationship from
… The mathematical achievement scores o readers were higher than language achievement …

… The main reason is that the inference engine of AI systems usually employ a logic-based
knowledge representation, which is quite different from the specialized patterns discovered by …

… In the following, we will still estimate methods under SCSP and CV. Figure 4.14 depicts
correlation coefficient as a function of noise to signal ratio and Figure 4.15 depicts RMSE as a …

… data into a finely tuned latent space representation. This transformative process serves as the
… of the data, carefully applying mathematical princi ples and methodologies to scrutinize the …