A probabilistic inference system is provided with: a pre-modification model input unit that receives the input of a probabilistic inference model; a model modification execution unit that outputs a modified probabilistic inference model; an inference calculation cost estimation unit that calculates a calculation cost when a probabilistic inference process is performed; an inference error estimation unit that estimates the magnitude of inference error that could be caused in a certain designated random variable in the probabilistic inference model when the probabilistic inference process is performed using the modified probabilistic inference model, compared with when the probabilistic inference process is performed using the probabilistic inference model; an adopted model selection unit that selects the probabilistic inference model to be adopted based on a probabilistic inference condition regarding the calculation cost and the inference error; and a modified model output unit that outputs the adopted probabilistic inference model.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A probabilistic inference system comprising: a pre-modification model input unit that receives an input of a probabilistic inference model; a model modification execution unit that outputs a modified probabilistic inference model by modifying the probabilistic inference model; an inference calculation cost estimation unit that calculates a calculation cost when a probabilistic inference process is performed using the modified probabilistic inference model; an inference error estimation unit that estimates a magnitude of inference error that can be caused in a certain designated random variable in the probabilistic inference model when the probabilistic inference process is performed using the modified probabilistic inference model, compared with when the probabilistic inference process is performed using the probabilistic inference model; an adopted model selection unit that selects a probabilistic inference model to be adopted based on a probabilistic inference condition regarding the calculation cost and the inference error, and a post-modification model output unit that outputs the adopted probabilistic inference model. 2. The probabilistic inference system according to claim 1, wherein: the probabilistic inference model is a graphical model including random variables and a link representing probabilistic dependency between the random variables; and the model modification execution unit creates the modified probabilistic inference model by deleting the link. 3. The probabilistic inference system according to claim 2, wherein the inference error estimation unit estimates the magnitude of inference error by assuming a plurality of states that could be sent via the deleted link. 4. The probabilistic inference system according to claim 3, wherein the plurality of states are states with a maximum conceivable difference with respect to the deleted link. 5. The probabilistic inference system according to claim 1, wherein the adopted model selection unit selects, from modified probabilistic inference models, one with the largest ratio of an amount of decrease in the calculation cost to an amount of increase in the inference error, and determines whether the selected model satisfies the probabilistic inference condition. 6. The probabilistic inference system according to claim 5, wherein: when the selected model satisfies the probabilistic inference condition, the post-modification model output unit outputs the selected model as the adopted probabilistic inference model; and when the selected model does not satisfy the probabilistic inference condition, and when there is a possibility of the probabilistic inference condition being satisfied by continuing the process of the model modification execution unit, the modification process by the model modification execution unit is continued using the selected model. 7. The probabilistic inference system according to claim 6, wherein the modification process by the model modification execution unit is repeatedly executed until the probabilistic inference condition is satisfied. 8. The probabilistic inference system according to claim 1, wherein the model modification execution unit performs clustering of random variables in the probabilistic inference model, and creates the modified probabilistic inference model by selecting any desired cluster from a plurality of created clusters. 9. The probabilistic inference system according to claim 8, wherein the model modification execution unit creates the modified probabilistic inference model configured only of clusters including random variables designated by the probabilistic inference condition. 10. The probabilistic inference system according to claim 1, wherein the inference error estimation unit, when determining the inference error of a certain specific random variable, determines a maximum likelihood value when the probabilistic inference process is performed assuming each of a plurality of conceivable states of the specific random variable, with respect to random variables other than the specific random variable, and calculates a difference in the occurrence probability of the specific random variable when the probabilistic inference process is performed using the modified probabilistic inference model and the probabilistic inference model prior to modification, in a state in which the maximum likelihood value is set. 11. The probabilistic inference system according to claim 10, wherein the inference error estimation unit outputs, as the magnitude of inference error, a maximum difference of a difference in the occurrence probability of the specific random variable when, in a state in which the maximum likelihood value in a first state among the plurality of states is set, the probabilistic inference process is performed using the modified probabilistic inference model and the probabilistic inference model prior to modification, and a difference in the occurrence probability of the specific random variable when, in a state in which the maximum likelihood value in a second state among the plurality of states is set, the probabilistic inference process is performed using the modified probabilistic inference model and the probabilistic inference model prior to modification. 12. The probabilistic inference system according to claim 1, wherein the probabilistic inference model is a Bayesian network. 13. The probabilistic inference system according to claim 12, wherein the probabilistic inference process is probabilistic inference using an algorithm including a message-passing algorithm. 14. The probabilistic inference system according to claim 12, wherein the probabilistic inference process is probabilistic inference using an algorithm including a bucket elimination algorithm. 15. The probabilistic inference system according to claim 1, further comprising: a probabilistic inference condition input unit that accepts an input of the probabilistic inference condition; a data input unit that accepts input data to the probabilistic inference model; a probabilistic inference execution unit that executes the probabilistic inference process using the adopted probabilistic inference model; and a prediction result output unit that outputs a result from the probabilistic inference execution unit.